Your profile should include a relevant technical education, such as electrical engineering, information and computer engineering, or technical physics. You should have experience in coordinating mechatronic projects, preferably in the field of measurement technology and vehicle diagnosis. You should be highly enthusiastic about innovative technologies and product development, as well as able to lead teams confidently and motivatingly.

In this role, you will have a lot of room for creativity and innovation in a dynamic company. You will work in a flat hierarchy with short decision-making processes and a motivated team with an open and appreciative corporate culture. You will also have flexible working hours with home office options and modern working equipment.

If you are looking for a challenging role with plenty of opportunities for growth and development, we look forward to receiving your application.

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Shape Testing Strategy for AI-Native Products

• Design and own end-to-end test strategies,automated and manual,for products that integrate LLMs, generative AI, and complex data pipelines.
• Develop novel evaluation frameworks for LLM output quality, prompt regression testing, and RAG retrieval accuracy.
• Select, implement, and continuously improve testing tools and frameworks in collaboration with engineering leadership and platform excellence teams.
• Drive a measurable shift from manual to automated testing, with clear metrics to track progress.

Own Quality and Release Readiness

• Be the single point of accountability for testing across all releases of your two products.
• Build and maintain automation frameworks and scripts that keep pace with rapid release cycles.
• Analyse test results, spot trends, and turn data into actionable improvements,not just reports.
• Prepare release-readiness documentation and quality artifacts that satisfy both internal stakeholders and GxP compliance requirements.

Lead, Coach, and Build Culture

• Partner with engineering managers, scrum masters, and delivery leads across squads and geographies to establish a shared quality vision.
• Lead external contract test engineering squads by influence,setting standards, mentoring team members, and modelling engineering excellence.
• Champion a quality-engineering mindset: everyone ships quality, not just the test team.
• Stay hands-on,write test cases, debug failures, and pair with engineers when the situation calls for it.

Essential Skills and Experience

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field (or equivalent practical experience).
• 10+ years of hands-on software test engineering experience across the full stack (UI, API, data).
• Proven ability to lead test strategy and mentor other test engineers,whether through formal management or technical leadership.
• Strong automation skills with modern frameworks such as Playwright, Selenium, or Cypress, plus scripting fluency in Python or a comparable language.
• Solid experience with REST API testing, database validation (PostgreSQL, MongoDB, or similar), and CI/CD-integrated test pipelines.
• A data-driven approach to quality: you define metrics, instrument dashboards, and use evidence to drive decisions.

Highly Preferred

• Experience testing AI/ML-powered products,especially LLM evaluation, prompt testing, RAG validation, or output-quality benchmarking.
• Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
• Background in life sciences, health-tech, or clinical-trial technology.
• Experience working with geographically distributed teams and external vendor squads.

If you're looking for a role where deep test engineering craft meets the frontier of AI,and where your work genuinely improves patient outcomes,this is it.

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

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As a Senior Compliance Engineer at Anduril Industries, you will be responsible for driving automation, compliance, and security engineering principles into the design, integration, and operation of Anduril's internal systems. This is a technically hands-on role that requires a strong DevSecOps background with deep expertise in cloud infrastructure security, embedded systems security, and federal compliance frameworks.

Key Responsibilities

• Design, develop, and maintain Infrastructure as Code (IaC) and Policy as Code (PaC) that enforce compliance with NIST SP 800-171 and 800-53, CMMC, and other applicable frameworks, enabling developers to deploy CMMC-certified applications using pre-packaged, compliant infrastructure templates.
• Architect, build, and deploy robust, scalable security controls across Anduril's corporate, development, and production cloud environments (AWS, Azure, GCP) and on-premise environments.
• Develop and automate IaC pipelines for managing and scaling cloud deployments securely and efficiently, including automated pipelines for deploying infrastructure, applications, and updates.
• Build automation for procedural compliance controls, generating compliance and audit artifacts at scale without manual intervention.
• Develop security models that integrate Continuous Monitoring (ConMon), DISA STIG scanning, and compliance reporting into a unified, automated workflow.

Compliance Engineering & Framework Implementation

• Analyze, interpret, and operationalize federal and industry cybersecurity regulations, including NIST SP 800-171 and 800-53, CMMC, FedRAMP, and SOC 2, translating regulatory language into actionable engineering guidance and enforceable technical controls.
• Evaluate system architectures and configurations to ensure alignment with required security controls for moderate-impact information systems.
• Interface directly with infrastructure teams to verify and enforce compliance across existing on-premise and cloud stacks, identifying gaps and driving remediation.

Cross-Functional Collaboration & Enablement

• Partner with engineers, the DevSecOps Team, and the Automation Team to implement and verify security controls in both corporate and product software environments.
• Act as a force multiplier by embedding security best practices into the workflows of infrastructure, application, and product teams, particularly for environments holding mission-critical data.

Strategic & Advisory

• Develop strategies and implementation plans for compliance-related matters, advising management on risk posture, regulatory changes, and investment priorities.
• Institute best-practice procedures for compliance and risk mitigation across the organization.

Required Qualifications

• 3+ years of professional experience in Cloud Security, DevSecOps, Site Reliability Engineering (SRE), or a related security engineering role.
• Background in one or more of the following disciplines: Systems Security Engineering, Cybersecurity, Systems Engineering, Software Engineering, Computer Engineering, or Computer Science.
• Proven experience building and securing complex cloud environments at scale.
• 3+ years of hands-on experience working with compliance frameworks such as CMMC, NIST SP 800-171 and/or 800-53, and FedRAMP.

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As a Project Engineer, you will develop enabling technologies for Maneuver Dominance and Anduril-wide with initial emphasis on host-platform agnostic C4ISR capability including integration-kits for ground and air vehicles. The role requires high ownership and frequent collaboration with other core disciplines. The ideal candidate would be practical, hands-on and a self-starter with experience with command and control systems.

Key Responsibilities:

• Lead an integrated, cross-functional program team of hardware, software, and systems engineers to deliver capability that exceeds customer expectations
• Own the entire lifecycle of technical initiatives, from defining requirements and creating project plans to final deployment and integration on helicopter platforms
• Serve as the primary owner and liaison between technical teams, business stakeholders, and customers
• Partner deeply with engineering leaders to drive program execution, unblock technical challenges, and accelerate cross-team projects
• Deeply understand mission requirements and master technical concepts to identify key dependencies, trade-offs, and risks related to airborne sensor integration and data fusion
• Coordinate and execute frequent test events, from hardware-in-the-loop simulations to live flight demonstrations
• Proactively identify potential technical and operational risks, develop mitigation plans, and drive issues to resolution before they become blockers
• Foster a culture of extreme ownership and a bias toward action within the program team

Requirements:

• B.S. in Electrical, Computer, Aerospace, Mechanical Engineering, or equivalent
• 5+ years of relevant industry experience in engineering, systems integration, or technical program management
• Demonstrated experience executing program management or engineering responsibilities for sophisticated hardware and software systems
• Strong understanding of systems engineering, environmental considerations, and requirements verification and validation, particularly for aerospace or defense applications
• Proven experience delivering complex solutions in highly regulated environments (e.g., DoD)
• Ability to inspire and guide teams, build consensus, and influence without direct authority
• Must be able to obtain and maintain a U.S. Security Clearance

Preferred Qualifications:

• Proven experience leading multi-disciplinary engineering teams to the successful completion
• Direct experience with the integration of C4ISR systems, sensor payloads (e.g., EO/IR, SIGINT), or secure data links onto airborne platforms
• Strong technical aptitude and an ability to understand technical designs, software development lifecycles, challenges, and risks
• Practical familiarity with both Agile and Waterfall methodologies and an ability to apply them where best suited
• Experience with tools like JIRA and Confluence
• Excellent written and verbal communication skills, with the ability to translate complex technical issues into non-technical terms
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

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You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.

This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.

You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.

You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.

You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.

Responsibilities:

• Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.

• Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.

• Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.

• Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.

• Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.

• Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.

• Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.

• Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.

• Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.

• Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.

• Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.

You may be a good fit if you:

• Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.

• Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.

• Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.

• Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.

• Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.

• Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.

• Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.

• Hold a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.

Strong candidates may also:

• Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.

• Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.

• Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.

• Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.

• Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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Working with industry partners, you will identify USA differentiated components and sub-manufacturers that would enable the creation of a broad portfolio of mission-specific compute solutions that would enable various platforms.

Key responsibilities include:

• Working with industry vendors and partners to source and design cutting-edge AI compute architectures, board-level solutions, and integrated systems.
• Collaborating with cross-functional engineering teams to design for our customers' requirements.
• Employing Model-Based Systems Engineering (MBSE) methodologies to effectively define interfaces between various system components within the architecture, ensuring seamless integration and streamlined development processes.
• Developing system architectures that encompass all critical components and subsystems, ensuring a holistic and integrated approach.
• Defining key capabilities and performance requirements of the hardware system, ensuring alignment with customer needs and industry standards.
• Decomposing system functionality into modular components, enabling efficient design and development processes.
• Leading thorough evaluations and making informed recommendations regarding potential external technology partnerships or vendors, leveraging their expertise when necessary to expedite hardware development processes.
• Leading comprehensive technical planning, system integration, verification and validation, cost and risk, as well as supportability and effectiveness analyses.
• Leading functional analysis, timeline analysis, detailed trade studies, requirements allocation, and interface definition studies to aid in translating customer requirements into hardware and software specifications.
• Providing oversight in conducting testing and validation of hardware designs, ensuring quality, reliability, and compliance with industry regulations and standards.
• Driving the product lifecycle from prototype to LRIP to FRP.

Requirements include:

• A Bachelor of Science degree in an engineering field AND 10 years of related professional/military experience in Computer Engineering, MBSE, Systems Engineering OR a Master's degree with 5 years of related professional/military experience.
• Previous experience working in hardware supply chain and manufacturing.
• Ability to set/manage customer and internal/external stakeholder expectations while also prioritizing key program initiatives (schedule, cost, quality, etc.).
• Strong understanding of various architecture frameworks (DoDAF, etc.), knowledge and understanding of interface control documents (ICDs).
• Experience with hardware verification, testing, and validation methodologies.
• Experience in data center server and/or personal computer manufacturing.
• Ability to obtain or have active DoD Top Secret Clearance with the ability to obtain SCI access, with a background investigation completed within the last 6 years or currently enrolled into Continuous Evaluation.

Salary range: $254,000-$336,000 USD.

Additional benefits include:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

Please note that Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.
• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• What to Do If You Suspect Fraud: Should you encounter any questions or concerns about the legitimacy of an Anduril job opportunity, please reach out to contact@anduril.com.

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Key responsibilities include:

• Serving as a project manager/on-site lead working directly with US military, DHS, and allied customers to deliver Anduril's radar and integrated sensor capabilities across multiple locations
• Leading a small team of engineers through site standups from initial radar integration through operational acceptance while interfacing with strategic end-users throughout the process
• Monitoring radar system performance, connectivity, integration with mesh networks, and fusion with other sensors (EO/IR, RF) and C2 systems at distributed sites and with partner organisations
• Gathering, triaging, and prioritising user feedback on radar detection performance, tracking accuracy, classification capabilities, issues, and errors found during fielding, testing, exercises, and normal use within operational schedules
• Providing input to account and engineering teams on radar features, detection algorithms, and UI/UX improvements that enhance or greatly improve efficiency of operator workflows
• Supporting engagement with other units, commands, and organisations for increased deployment and installation of our radar systems across military installations, critical infrastructure sites, and forward operating locations

Requirements include:

• 5+ years of experience and a Bachelor's degree in electrical engineering, electronics engineering, computer engineering or related field
• Willingness to travel 50% - 75%
• Eligibility to obtain and maintain an active US Secret security clearance

Preferred qualifications include familiarity and experience working with materiel leadership or mission partners within Army Air & Missile Defense, USMC Ground Based Air Defence, SOCOM, DHS CBP, or allied defence organisations and working knowledge of the counter-UAS and air surveillance competitive landscape.

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Key responsibilities include building a broad range of test capabilities across the manufacturing value stream, from system level checkouts and acceptance testing to key component level in-process validation. You will also develop, execute, and manage test ecosystems to de-risk hardware and ensure products meet target reliability levels and ultimate design intent.

As a Manufacturing Test Engineer, you will perform hands-on and data-driven root cause analysis of electromechanical subsystems using structured problem-solving methodologies. You will design and implement semi-automated testing equipment/protocols for subsystem characterization and reliability/environmental testing.

Collaboration with the design/systems team throughout product development cycles is essential, as is maintaining ownership of test deployment activities in production, overseeing technician training, and burn-down bug fixes/improvements as needed.

In addition, you will produce and maintain testing logs/data, develop a library of error codes with troubleshooting logic/diagrams for fast issue resolution, and generate controlled test instructions that can be easily followed by technician teams in MES or other test execution systems.

Required qualifications include a Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent work experience. At least 3 years of experience in a relevant field, preferably test design of electro-mechanical hardware in a manufacturing environment, is also required.

Experience developing full system test plans and knowing how to execute them on fast-paced product development timelines is essential. You should also have experience with programming/testing a wide range of sensors, actuators, and electrical components, as well as experience in hardware testing and automated test systems (LabVIEW, Test Stand, etc.).

Proficiency in programming languages such as Python, Matlab, SHELL, or others is also required, as is experience with computer hardware communication protocols: USB, Ethernet, RS232, RS485, PCIe, HDMI, CAN, etc.

Eligibility to obtain and maintain a U.S. Secret clearance is also a requirement.

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Key responsibilities include: Conducting detailed time studies for every build to establish benchmarks and identify inefficiencies; Providing reports and actionable insights to the teams and leadership based on collected data; Assisting in creating and maintaining accurate work standards and documentation; Optimizing work cell design, material presentation and operations workflows to enhance productivity; Collaborating with cross-functional teams to implement Lean, Six Sigma, and other continuous improvement methodologies; Providing training and support to staff on process improvements and best practices; Evaluating and integrating new technologies, tools, or machinery to improve operational efficiency; Monitoring and reporting key performance indicators (KPIs) to track progress and identify areas for improvement; Supporting cost reduction initiatives and resource optimization strategies; Ensuring workplace safety and ergonomics in process designs.

Required qualifications include: 3+ years past experience in a rate manufacturing environment and production-type role where complex mechanical and/or electrical assemblies were built; Demonstrated experience with and knowledge of proper time and motion study methodologies; Experience using real operational data to make informed suggestions and decisions; Understanding of the means and methods of how material flows around a facility including but not limited to pull systems + triggers, Kanban and MIN MAX calculations; Experience using discrete event simulation; Prior knowledge and interaction with a Manufacturing Execution System (MES) for production operations; Prior knowledge and interaction with an Enterprise Resource Planning (ERP) system; Experience with Lean Manufacturing principles/implementation; Ability to demonstrate a willingness to take on substantial responsibility across manufacturing, engineering, and operations functions with a bias towards speed and accuracy; Strong ability to read technical documentation such as drawings and CAD data, understanding of a variety of hardware manufacturing processes for both electronics (PCBAs, sensor hardware, etc.) and structures, mechanical components, and electromechanical systems; Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include: Demonstrated understanding of and experience using MODAPTS; Data analytics knowledge and experience including the use of SQL to create complex custom queries, mining and joining tables from production and supply chain databases (experience with Palantir Foundry a plus); Experience and demonstrated skills with Simio (DES software); Experience and demonstrated skills with AutoCAD; Bachelor’s degree or higher in industrial, mechanical/aerospace/manufacturing, electrical, or computer engineering; 2+ years past experience in a rate manufacturing environment and production-type role where complex mechanical and/or electrical assemblies were built.

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You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.

This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.

You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.

You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.

You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.

Responsibilities:

• Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.

• Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.

• Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.

• Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.

• Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.

• Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.

• Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.

• Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.

• Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.

• Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.

• Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.

You may be a good fit if you:

• Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.

• Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.

• Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.

• Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.

• Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.

• Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.

• Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.

• Hold a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.

Strong candidates may also:

• Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.

• Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.

• Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.

• Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.

• Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

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Key responsibilities include:

• Architect, design, and develop software drivers and interfaces in Python for hardware systems, including PCBAs, avionics, sensors, and automated test equipment.
• Design and implement automated test frameworks to validate aircraft components and subsystems, ensuring scalability, reliability, and repeatability across multiple programs.
• Develop and evolve CI/CD pipelines that enable continuous integration, automated validation, and seamless deployment of test stand software.
• Build and maintain scalable test infrastructure and shared libraries, promoting modularity, reusability, and consistency across teams and platforms.
• Automate system provisioning and configuration management to accelerate deployment and maintenance of new test stands and test environments.
• Develop real-time monitoring and data visualization tools (e.g., Grafana) to deliver actionable insights during test execution and system debugging.
• Lead and participate in design and code reviews, championing sound architectural principles, testability, observability, and reliability throughout the software stack.
• Collaborate cross-functionally with hardware, systems, and QA teams to integrate software and test capabilities into broader aircraft validation workflows.
• Other duties as assigned.

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This role requires an onsite presence in our El Segundo, CA HQ; a remote work environment is not considered for this opportunity.

Key Responsibilities:

• Design, validate & deliver RF payload subsystems: Design, Integration and Testing of Antennas, RF front ends, SDRs and provide validation of operation. Support development and analysis of RF performance metrics.

• Own requirements, ICDs, and verification from concept through delivery

• Stay current: Track and insert advances in relevant technologies, SDRs, RF Systems, RF machine learning, and PNT.

Qualifications:

• BS/MS in Electrical Engineering, Computer Engineering, or related field

• Antenna and receiver design across analog/RF/mixed-signal domains: mixers, PLLs/LOs, gain/linearity/noise trades; ability to turn simulations into reality.

• Channelizers & wideband architectures: filter banks, analog/digital down conversion, sample-rate planning, clocking/synchronization.

• Willingness to support critical test events that occasionally require extended hours/weekends

• Ability to obtain and maintain a security clearance

• Must be a U.S. Person (see ITAR Regulations below) due to required access to U.S. export-controlled information or facilities

Bonus Points:

• PhD in Electrical Engineering, Computer Engineering, or related field

• 5+ years’ experience with EW subsystems and payloads

• EA/ECM technique design (deception, Digital RF Memory, coherent/non-coherent techniques)

• Digital Signal processing: Design characterize and deliver channelizers, wideband detection/classification, MIMO/digital-arrays, and algorithms in MATLAB/Python/C++

• Communication / Waveform system design

• RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation

• Tools Experience: ADS/AWR/SystemVue, MATLAB/Simulink, Python (NumPy/SciPy), GNU Radio/SDR (USRP/RFSoC), VITA-49; HDL/firmware experience; also helpful (Vivado/Quartus/Libero).

• Clearance: Active Secret or ability to obtain and maintain; TS/SCI eligibility preferred. ITAR/EAR-controlled work. Learn more about Security Clearances here.

• Field work: supporting periodic travel for flight tests and customer demonstrations/support

• Mindset: Builder-tester who loves first-principles RF, rapid lab iteration, and getting hardware flying fast

What We Offer:

• Competitive salary, stock options and benefits, including health, vision and dental.

• 401K enrollment at 90 days.

• Generous PTO + most Federal Holidays observed.

• Collaborative and inclusive work environment.

• Access to the latest tools and technologies.

• High levels of responsibility and autonomy.

• Professional growth and development opportunities.

• Access to the hardest problems in electronic warfare.

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These engineers play a crucial role in advancing technology and enabling innovations in various industries.

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are a passionate and detail-oriented engineer who thrives in the fast-paced world of advanced semiconductor layout. You possess a deep understanding of analog and mixed-signal CMOS design principles, with a particular focus on high-speed SerDes interfaces. Your expertise is backed by a solid academic foundation and practical experience, enabling you to tackle complex layout challenges with confidence.

What You’ll Be Doing:

• Drive layout development for high-speed SerDes physical interfaces and complex analog/mixed-signal CMOS blocks.

• Lead the complete layout design process, including floorplanning, verification, and quality assurance, with a strong emphasis on reliability and manufacturability.

• Port designs across multiple foundry nodes, ensuring optimal performance and compliance with technology-specific requirements.

• Implement advanced techniques for signal integrity, ESD, and latch-up mitigation, such as differential routing, shielding, and biasing.

• Collaborate closely with design, verification, and manufacturing teams to deliver robust and scalable layout solutions.

• Utilize Synopsys EDA tools and scripting languages (TCL, Python) to automate layout tasks and optimize workflow efficiency.

The Impact You Will Have:

• Enable Synopsys customers to achieve higher performance and reliability in their silicon designs.

• Accelerate the time-to-market for cutting-edge semiconductor products by delivering high-quality, manufacturable layouts.

• Enhance the robustness and scalability of Synopsys IP through meticulous attention to detail and innovative design solutions.

• Drive advancements in deep submicron CMOS technology adoption and integration.

• Foster a collaborative environment that supports knowledge sharing, mentorship, and professional growth.

• Support Synopsys’ leadership in chip design and verification by contributing to the development of industry-leading IP blocks.

What You’ll Need:

• MSc in Electrical/Computer Engineering (or equivalent).

• Minimum 3 years hands-on experience in analog and mixed-signal CMOS layout, including high-speed SerDes interfaces.

• Deep knowledge of deep submicron CMOS technologies and design for reliability (EM/IR, matching, proximity effects).

• Proficiency in layout floorplanning, porting designs across foundry nodes, and implementing signal integrity and ESD mitigation strategies.

• Experience with custom digital and high-speed digital layout, as well as Synopsys EDA tools.

• Strong skills in UNIX environments, including shell scripting and command-line operations.

• Familiarity with scripting languages such as TCL and Python.

Who You Are:

• Excellent problem-solving, organizational, and communication skills.

• Self-motivated and proactive, with the ability to work independently and as part of a team.

• Effective collaborator who values diverse perspectives and fosters inclusive teamwork.

• Adaptable and open to new challenges, with a commitment to continuous improvement.

• Detail-oriented with a strong sense of ownership and pride in delivering high-quality work.

The Team You’ll Be A Part Of:

You will join a dynamic, highly skilled team dedicated to developing world-class analog and mixed-signal IP for Synopsys’ global customer base. The team is focused on pushing the boundaries of high-speed interface design, reliability, and manufacturability, working together to solve complex challenges and deliver industry-leading solutions.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.

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As part of the Solutions Architecture team, we work with some of the most exciting computing hardware and software technologies including the latest breakthroughs in machine learning and data science. A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA's most strategic technology customers as well as work directly with business and engineering teams on product strategy.

What you will be doing:

• Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's ML/DL and data science software and hardware technologies

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

• Build custom PoCs for solution that address customer's critical business needs applying NVIDIA hardware and software technology

• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions

• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues

What we need to see:

• 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience

• 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.

• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure

• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments

• Ability to use at least one scripting language (i.e., Python)

• Good programming and debugging skills

• Ability to communicate your ideas/code clearly through documents, presentation etc.

Ways to stand out from the crowd:

• AWS, GCP or Azure Professional Solution Architect Certification.

• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)

• System-level experience specifically GPU-based systems

• Experience with Deep Learning at scale

• Familiarity with parallel programming and distributed computing platforms

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What you'll be doing:

• Lead the design, automation, and validation of System Level Tests (SLT) for HVM (High Volume Manufacturing) for complex, high power, high speed SOCs.
• Develop and integrate test flows, scripts, and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals.
• Partner with system architecture, chip design, and validation teams to define and deliver production-ready SLT and HVM test solutions.
• Drive custom SLT development to optimize system performance, power efficiency, and test coverage.
• Oversee handler selection, enablement, and hardware integration – including PCB design, socket selection, and temperature control systems.
• Improve manufacturing test quality by enhancing test correlation, yield, and reliability across NPI, HVM, and RMA processes.
• Collaborate closely with OSATs on production enablement, sustaining, yield analysis, and DPPM reduction initiatives.
• Support silicon qualification and reliability testing (HTOL, Burn in) at the system level.

What we need to see:

• MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering (or equivalent experience).
• 12+ years of experience in Systems level test, systems validation, and/or bench testing.
• Experience in new silicon bring up at the system level.
• Experience in driving SLT testing and deployment for HVM.
• Experience with testing and characterization of high power SOCs and High Speed I/Os.
• Knowledge of network topology and experience in network connectivity.
• Proficient in C#, C/C++, PERL, Python, .NET framework.
• Experience in Security provisioning and knowledge of fuse programming implementation.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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Your primary responsibilities will include developing and integrating test flows, scripts, and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals. You will also partner with system architecture, chip design, and validation teams to define and deliver production-ready SLT and HVM test solutions.

In addition, you will drive custom SLT development to optimize system performance, power efficiency, and test coverage. You will oversee handler selection, enablement, and hardware integration, including PCB design, socket selection, and temperature control systems.

You will also improve manufacturing test quality by enhancing test correlation, yield, and reliability across NPI, HVM, and RMA processes. You will collaborate closely with Original Design Manufacturers (ODMs) on production enablement, sustaining, yield analysis, and DPPM reduction initiatives.

Finally, you will support silicon qualification and reliability testing (HTOL, Burn-in) at the system level.

To be successful in this role, you will need to have a strong understanding of electrical engineering principles, including signal integrity, data handling, and reporting. You will also need to have experience with lab equipment and measurement techniques for high-speed interfaces using high-speed scopes, probes, spectrum analyzers, BERTs, etc.

Additionally, you will need to have strong problem-solving skills, good communication skills, and the ability to work cooperatively in a team environment.

If you are a motivated and experienced Senior Post Silicon Validation Engineer looking for a new challenge, please apply today!

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Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

Responsibilities

You will learn how to create code and manage data that will directly impact the environment by improving electric vehicle energy efficiency. You’ll grow your expertise and analytical skills through collaboration with a global, cross-functional team, ownership of a well-defined project, and exposure to new technology and tools used to improve vehicles and customer experience.

You will have hands-on experience developing and deploying data-driven processes and toolsets to provide insights and guide engineering decisions. You will also develop build and CI/CD pipelines to enable compilation and testing of in-house vehicle firmware, develop drivers for on-chip / on-board peripherals, and use commercial software and compilers to develop embedded firmware.

You will develop unit tests that validate vehicle and firmware functionality. You will work on next generation electric vehicle, from concept development, prototyping, to vehicle testing and calibration, encompassing both physical and virtual analysis and testing.

Qualifications

You will have a relevant Bachelor’s degree or Master’s degree in Computer Science, Computer Engineering, or Automotive field. You will have a GPA of 3.0 on a 4.0 scale (or equivalent). You will have analytical and creative problem-solving skills, and be a team player who is capable of working in fast-paced, and multi-disciplinary environment.

You will have curiosity to ask “Whys” and motivation to investigate and explore. You must be able to work from the Long Beach, CA campus. You must be able to dedicate 6 MONTHS for this engagement. Candidates must graduate and be available for full-time work prior to July 2026.

Even better, you may have prior experience related to electric vehicles, experience developing cloud-based CI/CD pipelines and tools to perform regression analysis and create live dashboards, and experience in leveraging data to provide insights and drive engineering decisions.

Benefits

You will have immediate medical, dental, vision and prescription drug coverage. You will have flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. You will have family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.

You will have vehicle discount program for employees and family members and management leases. You will have tuition assistance. You will have established and active employee resource groups. You will have paid time off for individual and team community service.

You will have a generous schedule of paid holidays, including the week between Christmas and New Year’s Day. You will have paid time off and the option to purchase additional vacation time.

This position is a salary grade 5. For more information on salary and benefits, click here: https://fordcareers.co/GSRSP4

Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

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We're looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You'll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities.

As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety.

Responsibilities Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.

Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems. Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments. Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively. Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings. Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL. Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL). Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.

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Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.

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As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You'll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.

This opportunity will allow you to:

• Accelerate your career growth by working on state-of-the-art AI systems.
• Develop deep expertise in prompt engineering and model tuning.
• Hone your skills in building robust data pipelines and quality frameworks.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Design and implement new relevance metrics to measure and improve local search quality.
• Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
• Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
• Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
• Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
• Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.
• Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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Responsibilities:

• Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.
• Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).
• Define long-term modeling strategy and roadmap with clear business impact.

Technical & Engineering Execution:

• Modernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.
• Partner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.
• Introduce best practices for experiment design, ablations, feature validation, and productionization.

Business & Product Impact:

• Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals.
• Own model performance holistically: quality, stability, latency, and revenue impact.
• Develop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.

Leadership & Mentorship:

• Mentor and up-level applied scientists and ML engineers across the organization.
• Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.
• Improve collaboration norms, documentation quality, and cross-team alignment.

Innovation & Tooling:

• Leverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.
• Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

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Responsibilities

• Create and maintain systems such as physics, collisions, damage systems, input and multiplayer (including the multiplayer game servers) across the title to support authentic high speed racing action
• Assist the Gameplay team with feature development, and work effectively across multiple departments to deliver systems and features to specification and on time
• Develop tools and workflows supporting prototyping and ongoing development and functionality validation
• Perform advanced low-level debugging
• Profile and optimize all areas of the engine
• Contribute to, and support the technical roadmap for future iRacing Studios titles

Requirements

• A passion for playing and making games with a strong self-driven work ethic
• An undergraduate degree in Computer Science, Computer Engineering, Software Engineering, or equivalent training or relevant professional experience
• Must have worked with platform APIs and shipped titles on Xbox and PlayStation
• A minimum of 5 years of game development experience as a gameplay programmer with at least 1 shipped racing game title
• Advanced proficiency in C++. Familiarity with Python is a plus
• Previous experience building vehicle damage systems, race control, spotter systems and audio is a strong plus

Benefits & Compensation

In addition to competitive pay and benefits, we offer the opportunity to be part of a talented team building high-quality, immersive games for players worldwide.

Benefits Include:

• Health, dental, vision, and life insurance and other voluntary benefits
• 401(k) and discretionary employer match
• Paid time off (vacation, personal, sick, and holidays)

Location, Working Conditions, & Eligibility

• This position is a full time remote within the United States.
• Candidates must be legally authorized to work in the United States at the time of application.
• We are unable to sponsor visas, or work permits for this role.

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Responsibilities

• Identify technical solutions for various gameplay features based upon design documentation
• Prototype gameplay features for quick validation and revision
• Develop gameplay code to a high standard and provide corresponding technical documentation
• Develop the tools and workflows needed to produce new game features
• Test, debug, profile, and optimize game code
• Work effectively with other departments (e.g., Design, UI, and Audio) to deliver features on time
• Expose interfaces and data structures for use by the UI
• Contribute to and support the technical roadmap for future titles

Requirements

• A minimum of 5 years of game development experience as a gameplay programmer with at least one shipped title
• Experience successfully contributing to racing game titles is a plus
• Hands-on engineering experience with any core on-track racing systems is a plus such as collision systems, vehicle damage, spotter systems, racing rules, sound, etc.
• Skilled in C++ and Python
• Proficiency and a willingness to work with Python daily
• Understand asynchronous programming and coroutines
• Experience with game development tools such as Visual Studio, JIRA, Git
• An undergraduate degree in Computer Science, Computer Engineering, Software Engineering, or equivalent training or relevant professional experience
• A passion for playing and making video games with a strong self-driven work ethic

Compensation & Benefits

In addition to competitive pay and benefits, we offer the opportunity to be part of a talented team building high-quality, immersive games for players worldwide.

Benefits Include:

• Health, dental, vision, and life insurance
• 401(k) and discretionary employer match
• Paid time off (vacation, personal, sick, and holidays)

Location, Working Conditions, & Eligibility

This position is a full-time remote within the United States. Candidates must be legally authorized to work in the United States at the time of application. We are unable to sponsor visas, or work permits for this role.

Please submit a cover letter and resume to HR@iRacing.com.

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This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe.

You will:

• Ship real features to millions of developers using Replit's platform
• Collaborate cross-functionally with engineers, designers, product managers, and AI researchers
• Build and optimize developer experiences that make coding accessible to everyone
• Work on cutting-edge AI tools and infrastructure that power the next generation of software creation
• Learn from the best in an environment where your ideas are heard and often implemented

Required skills and experience:

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field
• Have at least one semester of schooling remaining after the internship completion
• Proficient in at least one programming language and comfortable with full stack development
• Passionate about developer tools, AI, or making technology more accessible
• Thrive in fast-paced environments where you can move quickly and adapt to changing priorities

What we value:

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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San Mateo, CA, United States Data Science & Analytics ID: 5750

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

This is a temporary, part-time position requiring no more than 20 hours per week _for a 3-month duration, with possibility to extend._

Teams Hiring for this role:

• Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models.
• Safety: Managing account relationships and the real-time morphing of linguistic mapping.
• Economy: Drive creator success and growth by exploring marketplace structure and pricing.

You Will:

• Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations.
• Conduct in-depth research to address complex data-related challenges.
• Work on projects that have a real impact on our products, services, and business strategy.
• Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
• Present your findings and recommendations to both technical and non-technical stakeholders.

You Have:

• Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science, Operations Research, Computer Engineering, Electrical Engineering.
• At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship.
• Proficiency in one or more programming languages (e.g., SQL, Python or R)
• Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow.
• Passion for applying scientific rigor to advance dynamic consumer products.
• Experience in developing production solutions is a plus.
• Experience with ML modeling

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. _Please note that not all benefits shown on this page are applicable to internship opportunities._

Hourly Pay Range

$64—$64 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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Microsoft AI are looking for a talented Principal Applied Scientist at their New York office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You'll work directly with leadership to deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.

Personal attributes:

• 6+ years of experience in developing and deploying large-scale machine learning models.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You'll work directly with leadership to deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.

Personal attributes:

• Proven experience in developing and deploying large-scale machine learning models.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of scientific and technical strategy for data-driven attribution and causal measurement across advertising systems. You will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem.

About the Role

As a Principal Applied Scientist, you will help define the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems. You will establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability. You will lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale. You will set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams. You will identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations. You will operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.

Accountabilities

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
• Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
• Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and prioritize multiple tasks.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Senior Applied Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising artificial intelligence technology. You'll work directly with leadership to shape the company's direction in the technology market.

About the Role

As a Senior Applied Scientist, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond. You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences.

Accountabilities

• Own high-impact and open-ended relevance problem areas across Product Ads and Shopping including providing strategic direction to solve problems and applying deep subject matter knowledge to support business impact.
• Drive algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including latest LLM models, to deliver clear and measurable product impact.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years working experience in statistical natural language processing (NLP) with the latest deep learning technologies including transformer and LLMs OR 4+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.
• 4+ years working experience with coding in production systems using C++, C#, Java or Python.

Personal attributes:

• Strong technical judgment on metrics, evaluation strategies, and tradeoffs optimizing for overall product ROI rather than isolated metrics.
• Ability to operate with high independence and accountability, anticipating risks, planning for unknowns, and requiring minimal oversight to deliver sustained impact at scale.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

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Microsoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising artificial intelligence technology. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

As a Senior Applied Scientist, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond. You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences. This role is part of Microsoft Artificial Intelligence (MAI)-Ads Engineering and is responsible for the end-to-end relevance problem for our ads and shopping products.

Accountabilities

• Own high-impact and open-ended relevance problem areas across Product Ads and Shopping including providing strategic direction to solve problems and applying deep subject matter knowledge to support business impact.
• Drive algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including latest LLM models, to deliver clear and measurable product impact.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years working experience in statistical natural language processing (NLP) with the latest deep learning technologies including transformer and LLMs OR 4+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.
• 4+ years working experience with coding in production systems using C++, C#, Java or Python.

Personal attributes:

• Strong technical judgment and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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Microsoft are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI and machine learning space. You'll work directly with leadership to shape the company's direction in the content and recommendation systems markets.

About the Role

As a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibilities will include:

• Algorithm Development and Enhancement for ranking algorithms in News & Feeds
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement
• Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques

Accountabilities

• Conduct in-depth market research across content and recommendation systems sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems
• Build systemic solutions and models to optimize user experience

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

Technical skills:

• Proficient in Python programming, with additional experience in languages such as C# or C++ considered a plus

Personal attributes:

• Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments
• Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences

Benefits

• Competitive salary and bonus structure
• Comprehensive health and wellbeing benefits
• Professional development opportunities, including training and mentorship programs
• Flexible work arrangements, including remote and hybrid options
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment
• Opportunities for career growth and advancement
• Recognition and rewards for outstanding performance

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Microsoft are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising technology space. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user experiences.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills 2+ years of experience in developing and deploying large-scale machine learning models.
• Proven expertise in the areas of Generative AI, deep learning, or transformers.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Benefits

• Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

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Microsoft are looking for a talented Senior Applied Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising space. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user experiences.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills 2+ years of experience in developing and deploying large-scale machine learning models.
• Proven expertise in the areas of Generative AI, deep learning, or transformers.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Benefits

• Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

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Microsoft are looking for a talented Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As an Applied Scientist in MAI, you would be responsible for data analysis, training and building models and shipping to production high quality experiences improving Bing products. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring.

Accountabilities

• Conduct in-depth market research across AI sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Gain a basic understanding of a broad area of research and applicable research techniques

The Candidate we're looking for

Experience:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Technical skills:

• Data analysis
• Model building

Personal attributes:

• Strong problem-solving skills
• Excellent communication skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for career growth and development

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Microsoft are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers.

About the Role

We are seeking a Principal Applied Scientist to lead the next generation of click-through-rate (CTR) for Microsoft Advertising. This is a high-impact role responsible for advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.

Accountabilities

• Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.
• Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).

Personal attributes:

• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Applied Scientist at their Sunnyvale office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising marketplace. You'll work directly with leadership to shape the company's direction in the development of large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback.

About the Role

Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value. We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend. The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.

Accountabilities

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.

Personal attributes:

• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Member of Technical Staff, Applied Scientist - Windows Copilot at their Redmond office. This role sits at the heart of redefining how AI enhances everyday computing. You'll work directly with leadership to shape the company's direction in the Windows Copilot team.

About the Role

The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack—from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We’re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it’s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all.

As an Applied Scientist, you will lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities.

Accountabilities

• Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
• Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
• Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
• Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
• Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
• Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
• Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven track record of deploying machine learning models in large-scale production environments.
• 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the online advertising platform and service. You'll work directly with leadership to shape the company's direction in the advertising industry.

About the Role

As a Senior Applied Scientist, you will play a key role in driving algorithmic and modeling improvement to the system. You will analyze performance and identify opportunities based on offline and online testing. You will develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads. You will have good communication, collaboration, and analytical skills.

Accountabilities

• Play a key role in driving algorithmic and modeling improvement to the system.
• Analyze performance and identify opportunities based on offline and online testing.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience conducting research as part of a research program (in academic or industry settings).

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft are looking for a talented Snr Applied Scientist at their Cairo office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising online shopping technology. You'll work directly with leadership to shape the company's direction in the global e-commerce market.

About the Role

As a Snr Applied Scientist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.

Accountabilities

• Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.
• Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Personal attributes:

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

Benefits

• Work arrangements (remote, hybrid, office-based).
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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Microsoft are looking for a talented Principle Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the global market.

About the Role

As a Principle Applied Scientist, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibility will be to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement. You will work with cross-functional teams to analyze performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques.

Accountabilities

• Conduct in-depth market research across the technology industry, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience

Technical skills:

• Strong programming skills in Python and experience with other programming languages like C#, C++ is a plus

Personal attributes:

• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft are looking for a talented Snr Applied Scientist at their Multiple Locations, Egypt office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising online shopping technology. You'll work directly with leadership to shape the company's direction in the online shopping market.

About the Role

As a Snr Applied Scientist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.

Accountabilities

• Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.
• Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Personal attributes:

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).

Benefits

• Work arrangements (remote, hybrid, office-based).
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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Microsoft are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the online advertising platform and service. You'll work directly with leadership to shape the company's direction in the advertising market.

About the Role

As a Senior Applied Scientist, you will play a key role in driving algorithmic and modeling improvement to the system. You will analyze performance and identify opportunities based on offline and online testing. You will develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads. You will have good communication, collaboration, and analytical skills.

Accountabilities

• Play a key role in driving algorithmic and modeling improvement to the system.
• Analyze performance and identify opportunities based on offline and online testing.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience conducting research as part of a research program (in academic or industry settings).

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

• Developing and maintaining SerDes system models for NRZ and PAM4 transceivers targeting PCIe (128Gbps+) and Ethernet (200Gbps+) standards.
• Running comprehensive system simulations to verify and sign-off design performance across multiple protocols and channels.

What you need

• M.Sc. or Ph.D. in Electrical or Computer Engineering.
• Strong experience modeling circuits and systems in MATLAB/Simulink.
• Expertise in designing high-speed analog CMOS circuits.
• Solid understanding of DSP and communications theory, including equalization, coding, and noise/crosstalk filtering.
• Proficiency in analyzing link budgets for NRZ and/or PAM4 high-speed serial links.
• Familiarity with wireline protocols (PCIe, Ethernet, JESD204C, CPRI) and optical protocols (LINEAR, RTLR).
• Experience with circuit topologies used in high-speed SerDes Tx/Rx and Tx/Rx equalization techniques.
• Hands-on lab testing for high-speed serial links and proficiency in C/Verilog-A/systemVerilog.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technologies. You'll work directly with leadership to shape the company's direction in the search and AI innovation markets.

About the Role

We are looking for a Senior Applied Scientist to design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency. You will apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario. You will act as a designated responsible individual (DRI), work with partners and v-team members to understand requirements, define roadmap, lead execution, unblock issues, deliver mission on time. You will proactively learn and leverage engineer excellence practice from partner teams, build collaboration with partners. You will maintain system performance, security and compliance.

Accountabilities

• Design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency.
• Apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Solid background in platform, AI/ML, including experience with search platform, grounding platform, ranking systems, natural language processing, with more than 4 years of working experience.
• Proficiency in programming languages such as C++, C#, Java, or Python, and familiarity with distributed systems.

Personal attributes:

• Passion for news and AI-driven innovation, with an understanding of user needs in news consumption.
• Ability to work in a fast-paced environment and collaborate across disciplines.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.

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What you'll do

• Developing and maintaining SerDes system models for NRZ and PAM4 transceivers targeting PCIe (128Gbps+) and Ethernet (200Gbps+) standards.
• Running comprehensive system simulations to verify and sign-off design performance across multiple protocols and channels.
• Designing and proposing advanced algorithms to calibrate and adapt transceivers for optimal performance.
• Correlating simulated performance with silicon measurements to ensure accuracy and reliability.
• Providing expert assistance to customers for system-level performance issues and troubleshooting.
• Collaborating with cross-functional teams of analog, digital, and hardware engineers throughout all stages of development.
• Contributing to lab testing and analysis for high-speed serial links, ensuring robust design validation.

What you need

• M.Sc. or Ph.D. in Electrical or Computer Engineering.
• Strong experience modeling circuits and systems in MATLAB/Simulink.
• Expertise in designing high-speed analog CMOS circuits.
• Solid understanding of DSP and communications theory, including equalization, coding, and noise/crosstalk filtering.
• Proficiency in analyzing link budgets for NRZ and/or PAM4 high-speed serial links.
• Familiarity with wireline protocols (PCIe, Ethernet, JESD204C, CPRI) and optical protocols (LINEAR, RTLR).
• Experience with circuit topologies used in high-speed SerDes Tx/Rx and Tx/Rx equalization techniques.
• Hands-on lab testing for high-speed serial links and proficiency in C/Verilog-A/systemVerilog.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Toronto office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
• Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
• Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
• Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
• 5+ years of experience in developing and deploying large-scale machine learning models.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary range of CAD $114,400 – CAD $203,900 per year.
• Comprehensive benefits package, including health, dental, and vision insurance.
• Opportunities for professional development and growth within the company.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and resources.
• Flexible work arrangements, including remote work options.

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What you'll do

• Managing the entire program engineering lifecycle—including initiation, definition, planning, execution, and closure—across multiple interconnected projects.
• Monitoring and controlling program budgets, schedules, risks, issues, and scopes to ensure successful delivery of key milestones and customer commitments.

What you need

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Applied Science, or a related field (or equivalent experience).
• 5+ years of experience in project/program management within engineering, ideally in semiconductor, IP, or ASIC design environments.

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What you'll do

Collaborating closely with analog, digital, and hardware teams to ensure holistic design and verification coverage.

• Developing and maintaining comprehensive simulation and verification plans for IP, aligning with reliability and performance targets.

What you need

• MSc or PhD in Electrical/Computer Engineering, with 10+ years of relevant industry experience.

Why this matters

Advance high-speed connectivity for enterprise and hyperscale applications worldwide.

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What you'll do

• Work close with customers to understand new requests or customization feature from customer’s PRD/MRD
• Provide integration training to customers and conduct reviews on their major SoC milestones
• Provide feedback to Synopsys R&D for customization feature or continuous IIP product improvements
• Participate in IIP design reviews to align development with future customer needs
• Creativity and Innovation is highly inspired: such as developing small tools to simplify daily jobs or improving efficiency; authoring application notes for gate-level simulation, silicon debug and physical implementation.

What you need

• Bachelor’s and/or master’s degree in electrical and/or Electronic Engineering, Computer Engineering or Computer Science
• Minimum 5 years of Analog or Mixed signal IP or ASIC Design/Verification/Applications experience is required
• Hands-on experience on circuit design, RTL coding, simulation, synthesis, static timing check, equivalence check, etc.
• Domain knowledge PCI Express, CXL, Ethernet protocols
• Creative results are oriented with the ability to manage multiple tasks concurrently.
• Good verbal and written communication skills in English and ability to interact with customer
• High degree of self-motivation and personal responsibility
• Good inference, reasoning and problem-solving skills, and attention to details

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What you'll do

You will serve as the primary technical interface for strategic customers leveraging PrimeLib for advanced library characterization and modeling. You will provide expert guidance on integrating PrimeLib into diverse EDA flows, ensuring optimal performance and accuracy.

• Serve as the primary technical interface for strategic customers leveraging PrimeLib for advanced library characterization and modeling.
• Provide expert guidance on integrating PrimeLib into diverse EDA flows, ensuring optimal performance and accuracy.
• Lead product demonstrations, evaluations, and proof-of-concept projects that showcase PrimeLib's capabilities in real-world scenarios.

What you need

• BS/MS in Electrical Engineering, Computer Engineering, or a related field (PhD preferred).
• 8+ years of experience in semiconductor design, library characterization, or EDA application engineering.
• Strong background in timing, power, variation, and signal integrity analysis for standard cell libraries.
• Hands-on expertise with characterization tools such as PrimeLib, Liberate, or SiliconSmart, and SPICE simulators.
• Advanced scripting skills (Python, Perl, TCL) for automation and flow customization.
• Familiarity with advanced process technologies, variation modeling, and Liberty format (including LVF/CCS/CCSN/CCSP models).
• Excellent verbal and written communication skills, with a proven ability to present complex technical concepts to varied audiences.

Why this matters

Accelerate customer adoption and success with PrimeLib, directly influencing the design of next-generation semiconductor products.

What you’ll be doing

• Serve as the primary technical interface for strategic customers leveraging PrimeLib for advanced library characterization and modeling.
• Provide expert guidance on integrating PrimeLib into diverse EDA flows, ensuring optimal performance and accuracy.
• Lead product demonstrations, evaluations, and proof-of-concept projects that showcase PrimeLib's capabilities in real-world scenarios.
• Troubleshoot and resolve complex technical challenges related to timing, power, and signal integrity modeling.
• Collaborate with R&D and product teams to influence the PrimeLib roadmap, advocating for customer needs and emerging technology trends.
• Develop and deliver technical training, best practices, and documentation to empower both customers and internal teams.
• Represent Synopsys and PrimeLib at industry conferences, technical forums, and customer workshops.

The Impact You Will Have

• Accelerate customer adoption and success with PrimeLib, directly influencing the design of next-generation semiconductor products.
• Drive technical excellence and innovation by bridging customer requirements and R&D advancements.
• Enhance Synopsys’ reputation as a trusted technology partner and thought leader in library characterization and EDA solutions.
• Shape the evolution of PrimeLib by capturing and relaying key customer insights to product development teams.
• Facilitate knowledge sharing and best practices that elevate the capabilities of customers and colleagues alike.
• Promote the adoption of advanced semiconductor process technologies through expert technical support and guidance.
• Build lasting relationships with Tier-1 semiconductor companies and industry leaders.

What You’ll Need

• BS/MS in Electrical Engineering, Computer Engineering, or a related field (PhD preferred).
• 8+ years of experience in semiconductor design, library characterization, or EDA application engineering.
• Strong background in timing, power, variation, and signal integrity analysis for standard cell libraries.
• Hands-on expertise with characterization tools such as PrimeLib, Liberate, or SiliconSmart, and SPICE simulators.
• Advanced scripting skills (Python, Perl, TCL) for automation and flow customization.
• Familiarity with advanced process technologies, variation modeling, and Liberty format (including LVF/CCS/CCSN/CCSP models).
• Excellent verbal and written communication skills, with a proven ability to present complex technical concepts to varied audiences.

The Team You’ll Be A Part Of

You will join a dynamic, high-impact Customer Application Services team focused on enabling customer success with Synopsys’ PrimeLib product. Our team works closely with R&D, product management, and global customers to deliver technical excellence, foster innovation, and drive the adoption of industry-leading library characterization solutions.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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