Key Responsibilities:

• Conduct weekly multidisciplinary rounds with Midwest and West Coast care teams, reviewing patient goals, complex medical and social situations, and providing clinical oversight and outcome-improvement strategies.

• Serve as the designated reviewer and triaging physician for COMPASS patient escalations as they enter the queue, applying clinical judgment to prioritize and direct AI-flagged cases to appropriate next steps.

• Alternate monthly care delivery education sessions with co-Medical Lead, developing and facilitating case-based learning (e.g., SUD management, integrated behavioral health, heart failure, steroid-induced hyperglycemia, functional seizures) for CHWs, care coordinators, pharmacists, and therapists.

• Provide asynchronous and synchronous clinical supervision to licensed therapists (LCSW/LMFT) and pharmacist teams, including time-sensitive escalations such as acutely suicidal or medically unstable patients.

• Rotate on-call coverage with co-Medical Lead for rare after-hours urgent clinical escalations and questions from field teams.

• Serve as the clinical dyad partner for regional operations leads, supporting market performance against quality, HEDIS, and outcomes OKRs.

• Represent Waymark at regional and national meetings with health system and health plan physician leadership, including presentations to MCO and FQHC Chief Medical Officers on Waymark's care model and COMPASS platform.

• Maintain current knowledge of clinical best practices across primary care, integrated behavioral health, street medicine, and population health, and contribute to quarterly clinical guideline reviews.

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We're building the foundation models that power the next wave of visual intelligence, and pretraining is where that work begins. This role sits at the center of our research effort, shaping training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models.

Responsibilities

• Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies)
• Develop and evaluate novel ideas across architecture, optimizers, and training algorithms
• Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design
• Lead focused research projects independently and drive larger cross-team initiatives

Requirements

• You've led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release
• Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies
• Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale
• Strong intuition for architecture and objective design , you've made calls on attention patterns, modulation schemes, or loss formulations that moved a real model
• Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab
• Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code
• Familiarity with visual generative models is a must

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

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The Vice President, Solutions Engineering Lead is a senior technical and client-facing leadership role within the Aladdin Wealth Solutions Engineering team. The role requires a rare combination of deep technical credibility, strong client presence, and the ability to own complex opportunities end-to-end.

Key Responsibilities

• Own and lead complex Tier 1 sales opportunities end-to-end, from early discovery and structuring, RFP processes and in-depth due diligence, through to handover to implementation.
• Lead solution narratives that clearly articulate architecture, operating model design, trade-offs, and implementation implications to both technical and non-technical audiences.
• Drive deal momentum by proactively managing risks, dependencies, and cross-functional alignment across Sales, Product, Engineering, and Implementation teams.
• Design, validate, and challenge complex solutions across Aladdin Wealth, including integration architectures, platform configuration, and multi-entity operating models.
• Maintain sufficient technical depth to read and reason through code in order to validate feasibility, assess complexity, and engage credibly with engineering teams.
• Take hands-on ownership of specific areas of platform configuration or solution setup when necessary to service client opportunities or resolve critical issues.
• Act as a bridge between conceptual solution design and practical execution, ensuring proposals are grounded in how the platform works.
• Coach and mentor junior and mid-level engineers, accelerating their ability to lead client conversations and take on greater responsibility.
• Contribute to the development of scalable best practices for solution design, client engagement, and deal execution to improve consistency across the function.
• Contribute to shaping the broader Solutions Engineering strategy, engagement model, and talent development roadmap.

Required Profile and Experience

• Strong technical foundation, with an early career background in engineering or architecture solutions.
• Previous experience as a Sales or Solutions Engineer, Solutions Architect, Technical Product Manager, or in a similar engineering-adjacent role, operating close to complex enterprise platforms and with client-facing experience.
• Demonstrated ability to read and understand code, reason through system behavior, and engage in detailed technical discussions, even if not acting as a full-time developer.
• Proven track record of owning complex, end-to-end client engagements involving platform integration, operating model design, and senior stakeholders.
• Fluency in German is strongly preferred.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts clearly and confidently to executive audiences.
• Pragmatic and adaptable mindset, able to move seamlessly between hands-on technical detail and senior-level strategic conversations.

Our benefits

To help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including:

• Retirement investment and tools designed to help you in building a sound financial future;
• Access to education reimbursement;
• Comprehensive resources to support your physical health and emotional well-being;
• Family support programs;
• Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes, and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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Reporting to the Global Print Editorial Strategy & Operations Director, you'll manage projects at the intersection of editorial workflows, technology migrations, and financial accountability, ensuring the division operates with peak performance.

Key responsibilities include:

• Operating Model Design: Lead the design and implementation of future-state operating models and organisational structures to support evolving business needs.

• Business Model Development: Partner with leadership to refine business models and drive portfolio optimisation.

• Strategic Roadmapping: Collaborate with leadership to develop an operational roadmap.

• Workflow Optimisation: Conduct discovery analysis and value mapping to streamline editorial systems and workflow tools.

• Data-Driven Decision Making: Use performance analytics to identify bottlenecks and provide evidence-based recommendations for improvements.

• Project Leadership: Manage the full lifecycle of editorial projects from ideation through to post-launch in a fast-paced matrix environment.

• Procurement & Compliance: Lead vendor selection & management, including contract negotiations.

• Workshop Facilitation: Lead cross-functional discovery sessions and workshops to align diverse teams,from Editors to Engineers,on project goals.

• Change Management: Conduct change impact assessments to ensure the smooth adoption of new tools and processes across the organisation.

Experience that will put you ahead of the curve includes project management experience within publishing, being as comfortable in a spreadsheet as you are in a creative operations department, and proficiency with project management tools such as Asana, Looker and Google Workspace tools.

The expected salary for this role is up to £75,000. This is a hybrid role from our London office.

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This role will be responsible for developing, administering, and optimising our FP&A platform to support budgeting, forecasting, scenario planning, and financial reporting.

Key responsibilities include:

• Developing, administering, and optimising our FP&A platform to support budgeting, forecasting, scenario planning, and financial reporting

• Designing and maintaining financial models, including building formulas, workflows, and system configurations

• Supporting potential system transitions, including implementation, data migration, and optimisation

• Providing administrative and integration support for our Headcount management platform and our Accounting & Financial close automation platform

• Partnering with Finance and People teams to ensure accurate headcount tracking and financial reporting alignment

• Working closely with Finance, Accounting, and People teams to understand business requirements and translate them into system solutions

• Supporting ongoing process improvements and system enhancements

Required qualifications include:

• Strong understanding of FP&A processes, including budgeting, forecasting, and financial modelling principles

• Hands-on experience with financial planning tools such as Pigment, Anaplan, Fintastic, or Adaptive, including model design, formula writing, and system configuration

• Experience managing or supporting financial systems and data workflows

terested candidates should have experience with end-to-end implementation/migration of financial planning tools, implementing or maintaining workforce planning/headcount management systems, and familiarity with accounting systems and financial reporting processes.

The compensation package includes a base salary, equity, and benefits. The base salary range for this full-time position in San Francisco, New York, and Seattle is $124,000-$155,000 USD.

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Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

Key responsibilities include:

• Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Working with massive datasets to develop both generic models as well as fine-tune models for specific products
• Building scalable machine learning infrastructure to automate and optimize our ML services
• Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations

Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.

Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.

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You will lead or contribute to proposals and engagements focused on IT and AI Operating Model strategy and design, including the definition of roles, decision rights, governance, service accountability, and performance metrics, with a strong focus on transitioning towards AI-enabled and agent-supported operating environments.

You will lead project teams to deliver current-state assessments, target operating model (TOM) design, and implementation of ITSM and SIAM governance, principles, and operating processes, ensuring effective integration into existing service delivery environments.

Key Responsibilities & Capabilities

• Provide expert advisory support to organisations seeking to optimise IT service delivery and digital operations
• Design and implement Target Operating Models (TOMs) aligned to AI, Cloud, Cyber and Service Management strategies
• Advise and guide the design and implementation of Service Integration & Management (SIAM) models in multi-vendor and delivery function environments
• Support organisations moving towards AI-enabled operations, ensuring AI governance aligns with enterprise-wide controls and risk frameworks
• Analyse current IT organisational design, operating models, and ITSM processes to identify improvement opportunities
• Develop practical, execution-ready transformation roadmaps
• Contribute to and lead the development of consulting offerings and thought leadership
• Govern and manage the execution of operating model and service management transformations
• Establish performance metrics and success measures to drive continuous improvement
• Work confidently across Agile, product-centric, and traditional SDLC delivery models
• Lead senior client conversations and articulate the value of IT and Digital Operations to the business
• Experience working with ITSM tools and platforms (e.g. ServiceNow) and advising on tool selection

Requirements

• Bachelor’s degree from an accredited university
• ITSM certification (e.g. ITIL) or equivalent practical experience
• 8 - 15+ years’ experience (grade dependent) in Operating Model Design, SIAM, ITSM Strategy, or CIO Advisory roles within leading consulting firms or large-scale enterprises
• Demonstrated experience designing and implementing Operating Models and/or Service Management frameworks
• Strong stakeholder management and executive-level communication skills
• Proven leadership experience managing high-performing, multidisciplinary teams

Benefits

Join our growing Digital Operations & Service Integration practice within Technology Transformation Consulting and help shape how organisations run technology in the age of AI.

Our team focuses on Operating Model Design (TOM), Service Integration & Management (SIAM), and AI-enabled IT Operations. We work with CIOs and senior technology leaders to redesign digital operating models, integrate complex multi-vendor ecosystems, and enable scalable AI, cloud, and cyber capabilities.

We operate at the intersection of strategy and execution - defining decision rights, governance structures, service accountability, and performance models that allow technology organisations to move from fragmented operations to resilient, AI-ready enterprises.

As part of this team, you will contribute to high-impact transformations across EMEA, including AI rollouts, cloud operating model redesign, M&A integration and service separation, and modern SIAM implementations. You will collaborate with multidisciplinary experts across consulting and technology to deliver pragmatic, measurable outcomes.

This is a team that values structured thinking, intellectual curiosity, and execution excellence. We offer the opportunity to shape market-leading offerings in one of the fastest-evolving areas of CIO advisory.

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As a Digital Operations & Service Management Consultant, you will advise clients on designing, evolving, and operating modern IT and Digital operating models in response to AI adoption, cloud transformation, cyber resilience, and complex service ecosystems.

You will lead or contribute to proposals and engagements focused on IT and AI Operating Model strategy and design, including the definition of roles, decision rights, governance, service accountability, and performance metrics, with a strong focus on transitioning towards AI-enabled and agent-supported operating environments.

You will lead project teams to deliver current-state assessments, target operating model (TOM) design, and implementation of ITSM and SIAM governance, principles, and operating processes, ensuring effective integration into existing service delivery environments.

Key Responsibilities & Capabilities

• Provide expert advisory support to organisations seeking to optimise IT service delivery and digital operations
• Design and implement Target Operating Models (TOMs) aligned to AI, Cloud, Cyber and Service Management strategies
• Advise and guide the design and implementation of Service Integration & Management (SIAM) models in multi-vendor and delivery function environments
• Support organisations moving towards AI-enabled operations, ensuring AI governance aligns with enterprise-wide controls and risk frameworks
• Analyse current IT organisational design, operating models, and ITSM processes to identify improvement opportunities
• Develop practical, execution-ready transformation roadmaps
• Contribute to and lead the development of consulting offerings and thought leadership
• Govern and manage the execution of operating model and service management transformations
• Establish performance metrics and success measures to drive continuous improvement
• Work confidently across Agile, product-centric, and traditional SDLC delivery models
• Lead senior client conversations and articulate the value of IT and Digital Operations to the business
• Experience working with ITSM tools and platforms (e.g. ServiceNow) and advising on tool selection

Requirements

• Bachelor’s degree from an accredited university
• ITSM certification (e.g. ITIL) or equivalent practical experience
• 8 - 15+ years’ experience (grade dependent) in Operating Model Design, SIAM, ITSM Strategy, or CIO Advisory roles within leading consulting firms or large-scale enterprises
• Demonstrated experience designing and implementing Operating Models and/or Service Management frameworks
• Strong stakeholder management and executive-level communication skills
• Proven leadership experience managing high-performing, multidisciplinary teams

Benefits

Join our growing Digital Operations & Service Integration practice within Technology Transformation Consulting and help shape how organisations run technology in the age of AI.

Our team focuses on Operating Model Design (TOM), Service Integration & Management (SIAM), and AI-enabled IT Operations. We work with CIOs and senior technology leaders to redesign digital operating models, integrate complex multi-vendor ecosystems, and enable scalable AI, cloud, and cyber capabilities.

We operate at the intersection of strategy and execution - defining decision rights, governance structures, service accountability, and performance models that allow technology organisations to move from fragmented operations to resilient, AI-ready enterprises.

As part of this team, you will contribute to high-impact transformations across EMEA, including AI rollouts, cloud operating model redesign, M&A integration and service separation, and modern SIAM implementations. You will collaborate with multidisciplinary experts across consulting and technology to deliver pragmatic, measurable outcomes.

This is a team that values structured thinking, intellectual curiosity, and execution excellence. We offer the opportunity to shape market-leading offerings in one of the fastest-evolving areas of CIO advisory.

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You will lead or contribute to proposals and engagements focused on IT and AI Operating Model strategy and design, including the definition of roles, decision rights, governance, service accountability, and performance metrics, with a strong focus on transitioning towards AI-enabled and agent-supported operating environments.

You will lead project teams to deliver current-state assessments, target operating model (TOM) design, and implementation of ITSM and SIAM governance, principles, and operating processes, ensuring effective integration into existing service delivery environments.

Key Responsibilities & Capabilities

• Provide expert advisory support to organisations seeking to optimise IT service delivery and digital operations
• Design and implement Target Operating Models (TOMs) aligned to AI, Cloud, Cyber and Service Management strategies
• Advise and guide the design and implementation of Service Integration & Management (SIAM) models in multi-vendor and delivery function environments
• Support organisations moving towards AI-enabled operations, ensuring AI governance aligns with enterprise-wide controls and risk frameworks
• Analyse current IT organisational design, operating models, and ITSM processes to identify improvement opportunities
• Develop practical, execution-ready transformation roadmaps
• Contribute to and lead the development of consulting offerings and thought leadership
• Govern and manage the execution of operating model and service management transformations
• Establish performance metrics and success measures to drive continuous improvement
• Work confidently across Agile, product-centric, and traditional SDLC delivery models
• Lead senior client conversations and articulate the value of IT and Digital Operations to the business
• Experience working with ITSM tools and platforms (e.g. ServiceNow) and advising on tool selection

Requirements

• Bachelor’s degree from an accredited university
• ITSM certification (e.g. ITIL) or equivalent practical experience
• 8 - 15+ years’ experience (grade dependent) in Operating Model Design, SIAM, ITSM Strategy, or CIO Advisory roles within leading consulting firms or large-scale enterprises
• Demonstrated experience designing and implementing Operating Models and/or Service Management frameworks
• Strong stakeholder management and executive-level communication skills
• Proven leadership experience managing high-performing, multidisciplinary teams

Benefits

Join our growing Digital Operations & Service Integration practice within Technology Transformation Consulting and help shape how organisations run technology in the age of AI.

Our team focuses on Operating Model Design (TOM), Service Integration & Management (SIAM), and AI-enabled IT Operations. We work with CIOs and senior technology leaders to redesign digital operating models, integrate complex multi-vendor ecosystems, and enable scalable AI, cloud, and cyber capabilities.

We operate at the intersection of strategy and execution - defining decision rights, governance structures, service accountability, and performance models that allow technology organisations to move from fragmented operations to resilient, AI-ready enterprises.

As part of this team, you will contribute to high-impact transformations across EMEA, including AI rollouts, cloud operating model redesign, M&A integration and service separation, and modern SIAM implementations. You will collaborate with multidisciplinary experts across consulting and technology to deliver pragmatic, measurable outcomes.

This is a team that values structured thinking, intellectual curiosity, and execution excellence. We offer the opportunity to shape market-leading offerings in one of the fastest-evolving areas of CIO advisory.

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This role exists to ensure that distributed team models deliver effectively without eroding team health, clarity of ownership, or long-term talent retention. You will work closely with delivery leaders, local people leaders, franchise operations, and senior stakeholders to establish clear operating models, set expectations, and actively manage the additional complexity of cross product and team collaboration.

Responsibilities

• Own and continuously evolve the cross-site operating model for Shared Teams, ensuring clear accountability, decision rights, and role clarity across all locations.
• Establish and uphold end-to-end delivery accountability for Work Managers, ensuring priorities, commitments, and outcomes are aligned and consistently executed across locations.
• Partner closely with senior local leaders to safeguard team health, sustainability, and long-term engagement, particularly within distributed delivery structures.
• Set and model high standards for cross-site leadership behavior, including clarity in written direction, explicit prioritization, and inclusive, transparent decision-making.
• Proactively identify and mitigate the cost, complexity, and risk inherent in cross-site collaboration, including time-zone friction, asynchronous workflows, and decision latency.
• Design and maintain an effective operating cadence between Work Managers and Local Leaders to surface risks early, resolve ambiguity quickly, and enable timely, well-informed escalation.
• Intervene decisively when delivery models rely on heroics or unsustainable practices, reinforcing disciplined execution and long-term organisational health.
• Champion distributed teams as strategic contributors to product outcomes, ensuring they are fully integrated, empowered, and recognised as core partners in delivery.
• Represent cross-site system health, sustainability risks, and trade-offs with clarity and accuracy to senior leadership, enabling informed decision-making at the portfolio level.
• Define and articulate a compelling vision, clear direction, and operating boundaries for the Battlefield Shared Teams Group, guiding teams toward measurable realisation of that vision.
• Collaborate with Game, Production, Operations, and Craft leadership to establish resilient shared team structures, effective methodologies, and scalable development systems.

Requirements

• Strong delivery leadership background, with the ability to balance execution, sustainability, and long-term organisational health.
• Demonstrated ability to influence, align, and escalate across organisational and geographic boundaries.
• High judgment and systems thinking, with comfort operating in ambiguous, evolving environments.
• Clear and effective communicator, with a strong bias toward written clarity and shared understanding.

Qualifications

• 10+ years of experience leading complex teams, products, or organisations.
• 5+ years of experience operating in distributed or multi-site team structures.
• 5+ years of working at a senior lead capacity of live game development organisation with financial insight and data driven mindset
• Demonstrated success in senior leadership roles involving delivery ownership and people leadership.
• Experience working across time zones and cultures in a global organisation.

Nice to Have

• Experience building or scaling shared-team or hub-and-spoke operating models.
• Demonstrated success retaining and growing senior talent in distributed teams.
• Background in live service or continuously evolving product environments.
• You are influence-oriented, and excel at collaborating with other leaders and guiding the collective group to the best action, decision, or result.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms. Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world. We're a small, fast-moving team of engineers focused on delivering a world-class developer experience while pushing the boundaries of what AI can do.

We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research.

About the Role

We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production.

This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text.

In this role, you will:

• Design and implement inference infrastructure for large-scale multimodal models.

• Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs.

• Enable experimental research workflows to transition into reliable production services.

• Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities.

• Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers.

You might thrive in this role if you:

• Have experience building and scaling inference systems for LLMs or multimodal models.

• Have worked with GPU-based ML workloads and understand the performance dynamics of large models, especially with complex data like images or audio.

• Enjoy experimental, fast-evolving work and collaborating closely with research.

• Are comfortable dealing with systems that span networking, distributed compute, and high-throughput data handling.

• Have familiarity with inference tooling like vLLM, TensorRT-LLM, or custom model parallel systems.

• Own problems end-to-end and are excited to operate in ambiguous, fast-moving spaces.

Nice to Have:

• Experience working with image generation or audio synthesis models in production.

• Exposure to distributed ML training or system-efficient model design.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We're looking for someone who will design, develop and maintain large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components.

Accountabilities

• Design, develop and maintain large-scale multimodal data processing pipelines.
• Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

As a Member of Technical Staff, Multimodal Infrastructure, you will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

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