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. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 USD

XML job scraping automation by YubHub

Responsibilities:

• Support millions of users and enable colleagues by ensuring excellence in core pieces that are shared throughout the application
• Identify site-wide challenges; propose, test, and ship solutions
• Drive changes that improve the entire site such as improving accessibility, network frameworks and browser support strategy
• Enable developers to work more effectively by improving architecture, testing capabilities and release cycles
• Solve hard-to-see user pain points that often affect every page such as performance, monitoring errors and solving user metric anomalies
• Grow as a developer by working with world-class peers on varied and high impact projects
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
• Leverage AI to synthesise information (summarise, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

Requirements:

• 5+ years of experience building large-scale full-stack products
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
• Deep understanding of web development and best practices in React/Redux
• Strong experience with programming languages Javascript and Python/Java
• Strong technical skills, and a willingness to learn new technologies
• Strong software engineering principles and practices
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

XML job scraping automation by YubHub

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Team

Okta's Workforce Identity Cloud Security Engineering group embraces innovation and paves the way to transform bright ideas into excellent security software solutions that help run large-scale, mission-critical software. Our Security engineering team has a niche skill-set that combines security domain expertise with the ability to design, implement and rollout security features and functionalities without adding friction to product functionality or performance.

We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

The Role

Okta's Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Software Security Engineer to join a team focused on designing and developing Security solutions to harden our frameworks & infrastructure. We encourage you to prescribe defence-in-depth measures, industry security standards, and enforce the principle of least privilege to help take our Security posture to the next level.

This is a high-impact role in a security-centric, fast-paced organisation that is poised for massive growth and success. You will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction. You will focus on engineering security and privacy aspects of the systems used across our services while working on a weekly release cadence.

You will be empowered to propose stimulating new projects for our roadmap and rewarded with projects using emerging technologies. Join us and be part of a company that is about to change the cloud computing landscape forever.

What you'll be doing

Act as a liaison between the engineering and security org to develop innovative requirements for the security roadmap

Evangelize security best practices across the engineering org

Research, design, implement and own security oriented frameworks and features with the common goal of protecting Okta's customers

Routinely participate in cross-vertical code reviews with emphasis on Security

Break down complex problems into sub-tasks while prototyping rapidly and iteratively contributing to security initiatives using agile practices

Coach and mentor junior engineers in the team

What you'll bring to the role

8+ years of development experience in designing and implementing software systems in Java, building highly reliable and mission-critical software

4+ years of work experience in designing and implementing security solutions for applications and distributed systems

Work experience and excellent understanding in mitigating OWASP Top 10 attacks on applications, Application Security, Cryptography, Authentication, Authorization using Role-Based and Attribute-Based access controls

Strong understanding of concepts such as Test-Driven development, Secure SDLC, Secure code reviews and the ability to identify and mitigate threat vectors and vulnerabilities in code and infrastructure

Good understanding and experience in using cloud service providers such as AWS and GCP

Good understanding of 'AI Secure by Design' practices throughout the development lifecycle, ensuring secure coding for AI-powered applications and validating the integrity of training datasets

Engineer and implement AI-based security solutions (e.g., automated threat analysis) that enhance application and infrastructure security

Developing and maintaining technical documentation such as cookbooks, design and architecture docs

Troubleshooting and fixing production issues to ensure reliability, security and performance

Work experience in using RDBMS like MySQL, good grasp of concepts such as replication and clustering along with familiarity in data stores such as Redis and Elasticsearch

Excellent grasp of software engineering principles coupled with strong written and verbal communication skills

B.S or M.S in Computer Science or related fields

#LI-SM1 #LI-Hybrid

P12002_3360981

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between: $160,000-$220,000 CAD

XML job scraping automation by YubHub

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Identity Security Posture Management (ISPM) Team

At ISPM (previously known as Spera), we are revolutionising the field of identity security, providing comprehensive solutions to address the challenges faced by modern organisations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance.

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What you’ll be doing

As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

• Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes

• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring

• Collaborate with product and R&D engineers to translate product requirements into technical solutions.

• Identifying and resolving technical issues and performance bottlenecks.

• Staying up to date with the latest industry trends and technologies to continuously improve our products.

• Be a mentor for colleagues and help promote knowledge-sharing

What you’ll bring to the role

• 8+ years of experience as a software engineer, preferably in a fast-paced environment.

• 5+ years of programming experience with Python, specifically focused on backend development.

• A proven track record of successfully building and delivering large-scale systems.

• Solid understanding of software engineering principles, design patterns, and best practices.

• Excellent problem-solving skills and a detail-oriented mindset.

• Strong communication and collaboration abilities to work effectively within a team.

Extra credit if you have experience in any of the following

• Experience with Snowflake or other data warehousing platforms.

• Experience with Amazon Web Services and modern cloud stack.

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

XML job scraping automation by YubHub

About the Role: The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. As an Application Security Engineer, you will partner closely with software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle
• Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers

Requirements:

• 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design

Preferred Qualifications:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations
• Experience building security tools, applications, and automated tools
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning
• Excellent communication skills, able to distill complex security topics for broad audiences
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity

Annual Compensation Range:

$300,000-$405,000 USD

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to Apply:

If you're interested in this role, please submit your application through our website. We look forward to reviewing your application!

Note:

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

XML job scraping automation by YubHub

Responsibilities: Develop and maintain high-quality web applications using JavaScript, TypeScript, and React for both front-end and back-end components Design and implement scalable and responsive user interfaces that meet the needs of various internal stakeholders Collaborate with product managers, designers, and other engineers to translate requirements into technical specifications and deliverables Integrate third-party APIs and services to enhance application functionality and interoperability with external systems Optimize application performance, security, and reliability through thorough testing, code reviews, and performance tuning Stay current with emerging technologies, best practices, and industry trends to continuously improve our development processes and tools Participate in Agile development methodologies, including sprint planning, daily stand-ups, and retrospectives, to ensure timely delivery of features and enhancements

Qualifications: Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred Experience as a Full Stack Engineer using JavaScript, TypeScript, and React Solid understanding of software engineering principles, data structures, and algorithms Experience with server-side development using Node.js Familiarity with relational database systems Proficiency in version control systems (e.g., Git) and CI/CD pipelines

Benefits: Medical Insurance: Comprehensive health insurance plans covering a range of services Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands: Prolonged periods of sitting at a desk and working on a computer. Occasional standing and walking within the office. Manual dexterity to operate a computer keyboard, mouse, and other office equipment. Visual acuity to read screens, documents, and reports. Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies. Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information: This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

XML job scraping automation by YubHub

Responsibilities:

Lead security audits of (a subset of) the Espresso codebase As a project leader, you will have mobility in how you choose to organize security and audit efforts Dive into the code of a fairly complex distributed system, learning and developing an understanding of the system on the fly (with help from the engineering team that built it, of course) Coordinate with several engineering teams to aid in your audit, raise concerns and communicate results, and guide the effort to harden the system based on your findings Coordinate with, manage, and review the work of external security auditing teams, in certain cases Suggest improvements to testing and engineering practices to promote more secure and maintainable code

Requirements:

Solid grasp of software engineering principles, both low-level (e.g. language-specific best practices) and high-level (e.g. reliable software architecture, particularly in distributed systems) If focused on Rust: ≥ 1 year experience writing Rust, particularly with async Rust. If focused on Solidity: Multiple years experience writing smart contracts; experience with smart contract security audits or formal verification of smart contracts Experience as an engineer or software architect in a security-critical industry Be capable of describing the stakes, the challenges you've faced in building secure software, and the steps/processes you've taken to mitigate risk Experience as an auditor, pentester, QA tester, etc. Have a well thought-out approach to testing software and designing it to be testable/auditable Ability to think adversarially, and identify potential reliability or security vulnerabilities even in software that is correct in common or “happy path” scenarios Experience on the design and/or testing of distributed systems Comfort diving into unknowns and asking questions

Preferred:

Knowledge of relevant testing and static analysis tools (e.g. Foundry, Slither) is a plus Blockchain knowledge/experience is preferred, but could also be include IoT, automotive, finance, etc. Ideally, the candidate should have a general philosophy of software design that has been molded by experience working on security-critical systems

Benefits:

Fully remote with flexible hours Work alongside the brightest minds in the crypto space Competitive salary + equity package Regular team off-sites to international locations Unlimited vacation policy Top-tier health, dental, and vision coverage for US employees

XML job scraping automation by YubHub

As a Senior R&D Engineer, you will design, implement, and maintain advanced algorithms for mesh generation and discrete geometry processing, leveraging AI technologies.

Key responsibilities include:

• Designing, implementing, and maintaining advanced algorithms for mesh generation and discrete geometry processing, leveraging AI technologies.
• Developing high-performance, memory-efficient software solutions to handle large and complex geometry data sets.
• Collaborating with expert teams to understand customer requirements and translate them into innovative development objectives.
• Conducting thorough testing, documentation, and maintenance of software components to ensure reliability and scalability.

The ideal candidate will have a strong foundation in computer science, computational geometry, or mathematics, with a proven track record of delivering high-quality software solutions.

Experience with software development related to mesh generation, discrete geometry data structures, large-scale data handling, geometry AI, or similar areas is essential.

Strong programming skills in Python and C/C++ are required, along with a working knowledge of software engineering principles, including design, implementation, and testing.

If you are an analytical thinker with a keen interest in algorithm development and programming, and are passionate about delivering high-quality software solutions, this could be the perfect opportunity for you.

Join the MDU team and contribute to the development of next-generation mesh generation and geometry processing products, enhancing performance and efficiency.

Empower customers to solve complex engineering challenges with robust, scalable software solutions.

Strengthen Synopsys's leadership in computational geometry by contributing to cutting-edge research and development.

Improve product quality and customer satisfaction through proactive problem-solving and support.

Facilitate cross-functional collaboration, bridging gaps between engineering, product management, and customer support teams.

Set new benchmarks in software performance, memory efficiency, and algorithmic innovation within the industry.

XML job scraping automation by YubHub

This Junior Software Engineer role combines generative AI expertise with strong data engineering skills, working on cutting-edge technologies that support engineering and data science initiatives.

Key Responsibilities

• Develop generative AI solutions for knowledge processing, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems
• Build and maintain data engineering pipelines to support AI and analytics workloads
• Collaborate with engineering teams to embed AI and data best practices into development processes
• Implement and help define coding standards and patterns for AI and data-driven applications
• Solve complex problems using innovative AI frameworks and scalable data solutions
• Actively integrate generative AI tools and models into daily workflows
• Stay ahead of emerging AI and data engineering trends and apply them to real-world solutions

Requirements

• Experience in generative AI and data engineering
• Skilled in Python and C# .NET, with a focus on AI and data integration
• Solid understanding of modern software engineering principles and their application in AI and data-driven solutions
• Extensively use generative AI in your day-to-day work to accelerate development and problem-solving

Benefits

• Be supported to continually learn and improve your tech skills
• Share knowledge and ideas in the team
• Be part of a dynamic and open culture
• Enjoy a supportive environment that encourages growth and learning
• Outstanding flexibility to support a healthy work-life balance
• Hybrid working (home and office-based split)
• Medical and Life insurance
• Volunteer day, enhanced paid parental leave and wellness benefits
• Fun team events including the Vista Innovation Cup

XML job scraping automation by YubHub

Our internship programs offer real-world projects, hands-on experience, and opportunities to collaborate with passionate teams globally. Explore your interests, share your ideas, and bring them to life while shaping your career path within our inclusive culture that fosters innovation and collaboration. Engineer your future with us!

Job Description

Category

Interns/Temp

Hire Type

Intern

Job ID

15973

Date Posted

03/05/2026

Job title: Intern (stage 5 ou 6 mois) - R&D Engineer - Digital Twin & Reduced Order Model Team

Introduction:

We drive technology innovations that shape the way we live and connect. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

Internship Experience:

At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide - and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

What You'll Be Doing:

• Develop and implement advanced analytical frameworks for modern ROM workflows.
• Re-architect and optimize the Genetic Aggregation Response Surface (GARS) method.
• Design, implement, test, and document new ROM-related algorithms in C++ and Python.
• Collaborate with R&D engineers to align methods with team objectives.

What You'll Need:

• Currently pursuing a degree in Computer Science, Applied Mathematics, Engineering, or a related field.
• Proficiency in C++.
• Strong understanding of numerical methods.
• Solid software engineering principles and design patterns.
• Experience with algorithms or scientific computing.
• Experience with agile development and Git.
• Strong analytical and problem-solving abilities.
• Ability to collaborate in a multidisciplinary R&D environment.
• Adaptability, willingness to learn, and proactive attitude.
• Clear communication of technical concepts and ability to work independently.

Key Program Facts:

• Program Length: 6 months
• Location: Lyon Villeurbanne, France
• Working Model: In-office
• Full-Time/Part-Time: Full-time (35 hours/week)
• Start Date: ASAP

Equal Opportunity Statement:

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.

Hiring Journey at Synopsys

Apply

As an applicant your resume, skills, and experience are being reviewed for consideration.

Phone Screen

Once your resume has been selected a recruiter and/or hiring manager will reach out to learn more about you and share more about the role.

Interview

You will be invited to meet with the hiring team to measure your qualifications for the role. Our interviews are held either in person or via Zoom.

Offer

Congratulations! When you have been selected for the role, your recruiter will reach out to make you a verbal offer (a written offer will follow your conversation), and we hope you accept!

Onboarding

There will be some steps you need to take before you start to ensure a smooth first day, including new hire documentation.

Welcome!

Once you’ve joined, your manager, team, and a peer buddy will help you get acclimated. Over the next few weeks, you’ll be invited to join activities and training to help you ramp up for a successful future at Synopsys!

XML job scraping automation by YubHub

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.

About the team

The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.

The Preparedness team is an important part of the [Safety Systems](https://openai.com/safety/safety-systems) org at OpenAI, and is guided by OpenAI’s [Preparedness Framework](https://openai.com/index/updating-our-preparedness-framework/).

Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

The mission of the Preparedness team is to:

1. Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophic

1. Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems

About the role

Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation.

As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve.

In this role, you will:

• Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership.

• Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities.

• Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions.

• Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios.

• Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats (e.g., novel exploits, tool-use chains, automated attack workflows) and across different product surfaces—then iterate based on findings.

You might thrive in this role if you:

• Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.

• Bring demonstrated experience in deep learning and transformer models.

• Are proficient with frameworks such as PyTorch or TensorFlow.

• Possess a strong foundation in data structures, algorithms, and software engineering principles.

• Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.

• Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering.

• Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale.

• (Nice to have) Bring background knowledge in cybersecurity or adjacent fields.

XML job scraping automation by YubHub

Research Engineer / Machine Learning Engineer - B2B Applications

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $295K – $445K • 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 is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems.

About the Role

As a Research Engineer in OpenAI's Applied Voice Team, you will have the opportunity to work with some of the brightest minds in AI. You'll design and build state-of-the-art speech models (speech-to-speech, transcribing, text to speech, etc.) and help turn research breakthroughs into tangible solutions in B2B applications, API and ChatGPT AVM. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.

In this role, you will:

• Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.

• Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.

• Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.

• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.

• Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

• Master's/ PhD degree in Computer Science, Machine Learning, or a related field.

• 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies.

• Demonstrated experience in deep learning and transformers models

• Proficiency in frameworks like PyTorch or Tensorflow

• Strong foundation in data structures, algorithms, and software engineering principles.

• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization

• Experience with speech models is a plus.

• Excellent problem-solving and analytical skills, with a proactive approach to challenges.

• Ability to work collaboratively with cross-functional teams.

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $250K – $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 is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.

About the Role

As a Research Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.

In this role, you will:

• Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.

• Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.

• Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.

• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.

• Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.

• Demonstrated experience in deep learning and transformers models

• Proficiency in frameworks like PyTorch or Tensorflow

• Strong foundation in data structures, algorithms, and software engineering principles.

• Experience with search relevance, ads ranking or LLMs is a plus.

• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization

• Excellent problem-solving and analytical skills, with a proactive approach to challenges.

• Ability to work collaboratively with cross-functional teams.

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done

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.

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Software Engineer 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 search engine and online advertising ecosystem. You'll work directly with leadership to shape the company's direction in the search engine and online advertising markets.

About the Role

The R&D of Search Ads aims to build an online advertising ecosystem of users, advertisers, and the search engine. Bing Search Ads Understanding team is chartered to deliver world class algorithm using web scale data. Our mission is to drive user satisfaction, advertiser ROI and Bing revenue. A core challenge is to match advertisers’ “Ad display” and users’ “query” by build an intelligent system to really understand the users need. This is a very hard problem that demands the most advanced AI models and sophisticated engineering systems. Join us to work on projects highly strategic to Bing search in a fun and fast-paced environment!

Accountabilities

• Design, develop, and maintain high-performance software in C/C++ and Python, including GPU programming with CUDA, ROCm, or Triton.
• Optimize model inference and training pipelines for speed, throughput, memory efficiency, and cost across GPU platforms.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python, CUDA, or ROCm OR equivalent experience.

Technical skills:

• Practical experience writing new GPU kernels, going beyond experience of GPU workloads with existing library kernels.

Personal attributes:

• Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.

Benefits

• Work on projects highly strategic to Bing search in a fun and fast-paced environment.
• Collaborate with platform teams to integrate and tune solutions on emerging accelerator stacks and rapidly evolving toolchains.
• Partner with internal and external stakeholders to translate requirements into scalable performance features and optimizations for state-of-the-art models.

XML job scraping automation by YubHub

What you'll do

• Build out and maintain the language compiler and tool chain
• Work closely with language consumers to ensure an exceptional user experience
• Design and maintain the scripting interface to the Unreal Engine
• Fix bugs and maintain the language code base

What you need

• Proficiency in C++
• Well-versed in software engineering principles, especially API design
• Experience developing in a large codebase at a fast pace, making tradeoffs between usability, performance, and power

XML job scraping automation by YubHub

What you'll do

• Troubleshoot complex integration and operational issues involving Anti-Cheat, analyzing crash dumps, logs, and call stacks to identify root causes
• Collaborate directly with external game developers and internal teams to resolve technical issues promptly and effectively

What you need

• Highly proficient in C and C++, particularly low-level or kernel-level debugging and development
• Strong ability to analyze crash dumps and debug complex, obfuscated code at the assembly level

XML job scraping automation by YubHub

What you'll do

• Lead the design, development, and maintenance of code focusing on the core features of our asset pipeline tools for Apex Legends.
• Develop architecture and design solutions for problems within the tools

What you need

• Excellent C++ skills
• 10+ years of experience having worked on and shipped large game projects

XML job scraping automation by YubHub

What you'll do

We are looking for an experienced Developer Relations Engineer to join our team and support EOS Anti-Cheat (also known as "Easy Anti-Cheat"). You will serve as a crucial technical liaison between our internal engineering teams and external partners, assisting them in integrating, debugging, and optimizing Anti-Cheat in their projects.

• Troubleshoot complex integration and operational issues involving Anti-Cheat, analysing crash dumps, logs, and call stacks to identify root causes
• Collaborate directly with external game developers and internal teams to resolve technical issues promptly and effectively
• Debug and reproduce customer issues, clearly documenting and communicating findings internally and externally

What you need

• Highly proficient in C and C++, particularly low-level or kernel-level debugging and development
• Strong ability to analyse crash dumps and debug complex, obfuscated code at the assembly level
• Familiarity with cross-platform development (Windows, Linux, macOS), understanding differences and limitations across these platforms

XML job scraping automation by YubHub