Researcher, Robustness & Safety Training Job at OpenAI (San Francisco)

New

Technical Lead, Safety Research

The Safety Research team aims to fundamentally advance our capabilities for prec...

Location

United States , San Francisco

Salary:

460000.00 - 555000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use
Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases
Hold a Ph.D. or other degree in computer science, machine learning, or a related field
Possess experience in safety work for AI model deployment
Have an in-depth understanding of deep learning research and/or strong engineering skills
Are a team player who enjoys collaborative work environments
Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter

Job Responsibility

Set the research directions and strategies to make our AI systems safer, more aligned and more robust
Coordinate and collaborate with cross-functional teams, including the rest of the research organization, T&S, policy and related alignment teams, to ensure that our AI meets the highest safety standards
Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies
Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more
Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products
Setting north star goals and milestones for new research directions, and developing challenging evaluations to track progress
Personally driving or leading research in new exploratory directions to demonstrate feasibility and scalability of the approaches
Working horizontally across safety research and related teams to ensure different technical approaches work together to achieve strong safety results

What we offer

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

Fulltime

New

Machine Learning Engineer, International Public Sector

Scale is hiring ML Research Engineers to bridge the gap between frontier researc...

Location

Qatar; United Kingdom , Doha; London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning
Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.)
Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales
Safety Expertise: Experience in alignment, robustness, or interpretability research

Job Responsibility

Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks
Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI
Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy
Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs
Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI
Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications

New

Researcher, Trustworthy AI

The Trustworthy AI team works on action relevant or decision relevant research t...

Location

United States , San Francisco

Salary:

Not provided

OpenAI

Expiration Date

Until further notice

Requirements

3+ years of research experience (industry or similar academic experience)
Proficiency in Python or similar languages
Experience with large-scale AI systems and multimodal datasets
Proficiency in AI safety topics like RLHF, adversarial training, robustness, LLM evaluations
Past experience in interdisciplinary research
Enthusiasm for socio-technical topics
Demonstrated passion for AI safety and making cutting-edge AI models safer for real-world use
Alignment with OpenAI’s charter and mission

Job Responsibility

Set research and strategies to study societal impacts of models in an action-relevant manner and tie this back into model design
Build creative methods and run experiments that enable public input into model values
Increase rigor of external assurances by turning external findings into robust evaluations
Facilitate and grow ability to effectively de-risk flagship model deployments in a timely manner

What we offer

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
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices and meal delivery credits

Fulltime

Member of Technical Staff, AI Safety Post-Training

As a Member of Technical Staff, AI Safety Post-Training, you will work to develo...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience prompting and working with large language models
Experience writing production-quality Python code
Demonstrated interest in Responsible AI

Job Responsibility

Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models
Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes
Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems
Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters
Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users
Embody our culture and values

Fulltime

New

AI Architect

We’re hiring an AI Architect to sit at the intersection of frontier AI research,...

Location

United States , San Francisco; New York

Salary:

201600.00 - 241920.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments
Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration
Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models
Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs
Executive presence with world-class researchers and enterprise leaders
excellent writing and storytelling
Bias to action: you ship, learn, and iterate.

Job Responsibility

Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need
Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment
Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans
Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice
Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings
Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders
define success metrics
surface risks early
and drive programs to measurable outcomes
Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend
equity based compensation.

Fulltime

Principal Engineer / Director, Motion Planning

Location

United States , Santa Clara

Salary:

200000.00 - 280000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

7-10 years of experience building data-driven, fault-tolerant systems
Proven record of delivering a DL based system
MS or PhD in Computer Science or equivalent practical experience
Extensive experience designing and building modern planning systems a big plus
Passionate about writing amazing, robust, safety-critical, efficient C++ and Python

Job Responsibility

Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning
Assume responsibility for the overall planning, execution, and success of autonomous driving related projects
Actively code and develop prototypes to test novel algorithms and ideas
Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team
Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring
Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence
Present the progress to senior leadership and cross-functional teams
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

Fulltime

ML Tech Lead Manager

Abridge is building an AI platform for clinical conversations to solve the admin...

Location

United States , San Francisco

Salary:

246500.00 - 290000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

7+ years of experience in machine learning/NLP, with a strong track record of impactful publications and deployed systems
3+ years of experience as technical lead for a project of 4 or more individuals
2+ years of direct management experience, managing Researchers and Applied Scientists
Deeply technical, with expertise across NLP and LLMs—e.g., pre-training/post-training/SFT/RL, retrieval augmented generation (RAG), reasoning capabilities, multilinguality, multimodality, synthetic data generation, noise robustness, judges, and evaluation
Comfortable bridging research, product, and engineering, translating novel ideas into robust, scalable systems that deliver real-world impact
Have fluency with libraries for scientific computing (e.g. SciPy, Numpy) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas)
A thoughtful leader: you foster a feedback-rich culture, set a high bar for scientific rigor, and empower your team through mentorship, clear vision, and mutual trust
Up-to-date on the latest in NLP and ML research, with excitement for continuous learning
Motivated to work in a fast-paced, collaborative environment where your team’s science has direct clinical impact
Must be willing to work from our SF office at least 3x per week

Job Responsibility

Lead, mentor, and scale a high-impact team of NLP/ML researchers, fostering a culture of technical rigor, creativity, and scientific excellence
Set R&D strategy that aligns with company priorities
Grow talent pipelines by recruiting world-class researchers and nurturing career development through coaching and mentorship
Balance long-term vision with near-term impact, ensuring research not only advances the field but also translates into product-grade systems
Partner with engineering teams and clinicians to operationalize novel algorithms into clinician-facing workflows, optimizing both quality and efficiency
Ensure safety and robustness in deployment, shaping the standards for evaluation in clinical AI
Represent Abridge in the global ML/NLP research community through publications, conference presentations, and industry/academic partnerships

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
Paid Parental Leave: Generous paid parental leave for all full-time employees
Family Forming Benefits: Resources and financial support to help you build your family
401(k) Matching: Contribution matching to help invest in your future
Personal Device Allowance: Tax free funds for personal device usage
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals

Fulltime

Sdet ii - ai applications

As a Software Development Engineer in Test (SDET) II, you will play a critical r...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field
3-5 years of experience in software testing, validation engineering, machine learning engineering, or autonomous systems development
Strong understanding of AI behavior, model evaluation, data pipelines, and real time system interactions
Hands on experience with automated testing frameworks, simulation tools, scenario generation, or hardware in the loop validation
Ability to design testing architectures that scale across cloud, embedded, and robotics environments
Experience analyzing metrics, failure cases, regression patterns, and long tail performance challenges
Ability to collaborate with research, robotics, infrastructure, and product teams to define and execute complex testing plans
Strong programming skills in languages used for verification and automation such as Python, C++, or similar
Experience with CI/CD systems, version control, and structured testing workflows
Strong problem solving and analytical capabilities with a focus on reliability and safety

Job Responsibility

Define and own the AI driven testing strategy for autonomy across simulation, hardware, software, and real-world validation
Develop automated verification pipelines that use AI, data driven analysis, and intelligent test generation to evaluate system performance at scale
Design tests that expose edge cases, failure modes, rare events, and long tail conditions critical for safe autonomous operation
Integrate testing workflows with model training pipelines, deployment systems, data infrastructure, and robotics platforms
Build metrics, dashboards, and evaluation frameworks that measure reliability, robustness, safety, and regression impacts across model updates
Collaborate with AI researchers, robotics engineers, software developers, and safety teams to ensure testing requirements align with system capabilities and operational constraints
Use simulation tools, digital twins, and scenario generation to replicate diverse operating conditions and evaluate autonomous behaviors
Validate AI performance on hardware in the loop, software in the loop, and real-world testing environments
Develop tools that automate labeling, anomaly detection, and performance triage to accelerate debugging and model improvement
Identify gaps in test coverage, implement continuous improvements in test methodologies, and maintain high verification standards

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Researcher, Robustness & Safety Training

OpenAI

Location:
United States , San Francisco

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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