AI Research Scientist - Safety Alignment Team Job at Meta (Menlo Park)

Research Scientist, Safety Post Training

As the leading data and evaluation partner for frontier AI companies, Scale play...

Location

United States , San Francisco, CA; New York, NY

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches
A track record of published research in machine learning, particularly in generative AI
At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development
Strong written and verbal communication skills to operate in a cross-functional team

Job Responsibility

Develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers
Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties
Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations
Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices

What we offer

comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend (eligible)

Fulltime

Research Scientist, AI Controls and Monitoring

As a Research Scientist focused on AI Controls and Monitoring, you will design m...

Location

United States , San Francisco; New York

Salary:

197400.00 - 246750.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Commitment to mission of promoting safe, secure, and trustworthy AI deployments
Practical experience conducting technical research collaboratively
Comfort designing control and monitoring experiments for AI systems
Experience building prototype systems
Ability to turn research ideas into working prototypes
Track record of published research in machine learning, particularly generative AI
At least three years of experience addressing sophisticated ML problems
Strong written and verbal communication skills

Job Responsibility

Design methods, systems, and experiments to ensure advanced AI models and agents remain aligned with intended goals
Develop monitoring techniques and observability methods to track AI behavior in real time
Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods
Design red-team simulations to probe weaknesses in oversight and control mechanisms
Build mitigations to close identified gaps
Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks

What we offer

Comprehensive health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Possible commuter stipend
Equity based compensation

Fulltime

AI Research Scientist - Speech and Language

Reality Labs Research is Meta’s innovation engine for next-generation AR/VR, AI,...

Location

United States , Redmond

Salary:

184000.00 - 257000.00 USD / Year

New

Research Scientist, Advanced Control

At Meta IDC (Infrastructure Data Center), our goal is to deliver the trusted cap...

Location

United States , Menlo Park

Salary:

184000.00 - 257000.00 USD / Year

Staff Research Scientist - VLM / VLA

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of experience in AI/ML research and applied development
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization

Job Responsibility

Research, design, and prototype advanced Vision-Language Models and Vision-Language-Action foundational models tailored for real-time semantic understanding and behavioral prediction in autonomous driving
Drive the technical strategy for onboard model optimization, leading initiatives in model quantization, pruning, knowledge distillation, and compilation to ensure high-parameter models execute with ultra-low latency on vehicle edge hardware
Advance multimodal alignment techniques, ensuring seamless integration of camera, radar, LiDAR, and textual/logical prompts into unified foundational architectures
Influence technical roadmaps and shape strategic machine learning priorities that align with safety requirements, core product milestones, and next-generation vehicle launches
Provide technical mentorship and long-term vision to a multidisciplinary group of machine learning engineers, software developers, and hardware specialists
Foster internal innovation by collaborating closely with perception, planning, and infrastructure teams to integrate foundational models into the core autonomous software stack
Represent the company externally to the global scientific community by publishing original research, securing patents, and presenting at top-tier artificial intelligence and robotics conferences

What we offer

Medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Principal Applied Data Scientist - AI for Good Lab

The AI for Good Lab is hiring a Principal Applied Data Scientist to join our tea...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Deep foundation in AI, machine learning, statistics, or related quantitative methods applied to real-world problems
Experience working end-to-end with data-from sourcing and exploration through modeling, interpretation, and communication
Proficiency in at least one scientific programming language (Python, R or equivalent languages) and experience with SQL or similar query languages
Excellent written and verbal communication skills, with demonstrated experience communicating complex ideas clearly and persuasively to non-technical audiences
Proven ability to influence outcomes and lead work in cross-functional, matrixed environments

Job Responsibility

Lead and develop applied AI solutions (LLMs, Agents, Computer Vision) and data science solutions by identifying and gathering data, shaping problem formulations, applying AI, machine learning, and statistical methods, and generating insight with real-world impact
Use AI creatively as a research and solution-building tool, combining quantitative methods, experimentation, and domain knowledge to surface patterns, test ideas, and inform decisions
Rapidly prototype and validate approaches using modeling, statistics and experimentation
select methods under real-world constraints (cost/latency, safety, privacy, maintainability)
Design and build reliable, maintainable, end-to-end systems spanning data pipelines, model lifecycle, evaluation/telemetry, deployment, and operations
Advance the AI for Good Lab research agenda by authoring technical papers and presentation, published both internally and externally
Work in close partnership with other researchers and research organizations, as well as policy, industry, and nonprofit stakeholders, to co-create solutions
Present findings with clear and compelling narratives, using impactful visualizations and storytelling to articulate insights that drive understanding and action
Lead through influence by shaping technical direction and standards (model evaluation, responsible AI, safety/privacy, and monitoring), aligning collaborators, navigating tradeoffs, and sustaining momentum across teams and institutions

Fulltime

Senior Applied Scientist, AI Security

Our mission is to make Uber the industry model for a secure and trustworthy AI e...

Location

United States , Sunnyvale

Salary:

190000.00 - 211000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., MS or Bachelors degree in Statistics, Economics, Operations Research, Computer Science, Engineering, or other quantitative field
If Ph.D or M.S. degree, a minimum of 2+ years of industry experience as an Applied Scientist or equivalent
Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
Hands-on experience building and deploying ML models
Knowledge of experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Ability to use a language like Python or R to work efficiently at scale with large data sets
Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop

Job Responsibility

Develop and evaluate large-scale machine learning model systems in production with a focus on adversarial robustness, input validation, and output sanitization
Propose, design, and analyze large-scale online experiments to test safety guardrails and detect ecosystem vulnerabilities
Define and implement metrics to measure security posture, attack surface reduction, and product performance
Present findings on AI risks, red-teaming results, and mitigations to business and executive audiences
Collaborate with engineers and product managers to implement secure-by-design ideas and plan future roadmaps
Optimize and secure retrieval-augmented generation (RAG) systems against prompt injection, indirect injection, and data exfiltration
Fine-tune large language models (LLMs) to improve safety alignment, resistance to jailbreaking, and operational efficiency
Implement secure agentic workflows to streamline processes, ensuring safe tool-use and authorization for both internal employee agents and external user agents

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits (see link)

Fulltime

Language Research Scientist

We are seeking a technically skilled GenAI scientist to join our team focused on...

Location

Switzerland , Zurich

Salary:

Not provided

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AI Research Scientist - Safety Alignment Team

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