Research Scientist, Reinforcement Learning Job at Meta (Sunnyvale)

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...

Location

United States , Milpitas

Salary:

117500.00 - 270000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
strong programming skills in Python, data structures, and algorithms are required
experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
experience in Python Web Frameworks – Django, Flask - a plus but not required.

Job Responsibility

conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
publishing in top conferences like NeurIPS, AAAI, and ACL
developing patent applications
software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

What we offer

a competitive salary and extensive social benefits
diverse and dynamic work environment
work-life balance and support for career development
health and wellbeing programs
personal and professional development programs
diversity, inclusion, and belonging initiatives.

Fulltime

Post Doctoral Machine Learning Research Scientist

The Core Machine Learning Research team within the Artificial Intelligence Resea...

Location

United States , Milpitas

Salary:

47.75 - 72.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning
Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models
Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency

Job Responsibility

LLM and agentic architectures with refinements to enhance trust for complex applications and workflows
Multi-agent and multi-objective reinforcement learning for complex physical systems
Generative models and Optimization for scientific domains such as inertial confinement fusion
Scalable, safe AI systems that push the boundary of what’s possible in applied ML

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to helping you achieve career goals
Inclusive working environment
Collaborations with top-tier research institutions, national labs, and global AI initiatives

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Lead Scientist, Pricing

We are seeking a Lead Data Scientist with deep expertise in pricing science, inc...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
7+ years of hands-on experience building data science solutions for pricing, decision-making, or control systems
Demonstrated success applying reinforcement learning in production settings, ideally in pricing or dynamic decision environments
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Experience with Python-based libraries for mathematical optimization and reinforcement learning, and familiarity with simulation environments for offline policy evaluation
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the development of intelligent pricing systems using reinforcement learning, constrained optimization, and simulation-based approaches
Apply a combination of mathematical optimization, dynamic programming, and advanced reinforcement learning algorithms (e.g., model-free, policy gradients, model-based RL) to develop adaptive pricing strategies at scale
Incorporate price elasticity modeling, demand forecasts, and business constraints into the optimization framework
Build and validate simulation environments to evaluate policies offline and ensure robustness before production deployment
Collaborate with engineering to productionize and monitor models in cloud environments such as AWS SageMaker
Collaborate with engineering to productionize optimization models via batch or real-time pricing APIs (e.g., using AWS SageMaker)
Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes
Define and execute model performance measurement strategies, including causal inference and uplift modeling and A/B testing
Present findings, experimental results, and strategic recommendations to senior leadership

Research Scientist Intern, Reinforcement Learning

We are committed to advancing the field of artificial intelligence by making fun...

Location

France , Paris

Salary:

Not provided

Research Scientist - Agency and Reasoning

As a Research Scientist, you will be a core contributor to Zyphra’s Agency and R...

Location

United States , Palo Alto

Salary:

Not provided

Zyphra

Expiration Date

Until further notice

Requirements

Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks
Experience with language model supervised finetuning and preference learning methods such as DPO, simPO, etc.
Experience with context-length extension methods
A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning
Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation
Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics)
Previously published machine learning research in well-respected venues
Highly proficient with PyTorch and Python
Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

Job Responsibility

Performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models

What we offer

Comprehensive medical, dental, vision, and FSA plans
Competitive compensation and 401(k)
Relocation and immigration support on a case-by-case basis
On-site meals prepared by a dedicated culinary team
Thursday Happy Hours

Fulltime

Research Engineer/Research Scientist, RL/Reasoning

As a Research Engineer/Research Scientist at OpenAI, you will advance the fronti...

Location

United States , San Francisco

Salary:

295000.00 - 445000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Background in reinforcement learning research
Able to iterate quickly
Proficient at coding
Deep understanding of machine learning and machine learning applications

Job Responsibility

Advance the frontier of AI alignment and capabilities through cutting-edge RL methods
Work at the heart of training intelligent, aligned, and general-purpose agents

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

Research Scientist, Reinforcement Learning

Meta

Location:
United States , Sunnyvale

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

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Job Posted:February 13, 2026

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