Research Engineer, Reinforcement Learning Job at 1X Technologies (Palo Alto)

Research Engineer - Reinforcement Learning

Building Open Superintelligence Infrastructure. Prime Intellect is building the ...

Location

United States , San Francisco

Salary:

Not provided

Prime Intellect

Expiration Date

Until further notice

Requirements

Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models
Deep expertise in distributed inference techniques and frameworks (e.g. vllm, sglang) for optimizing the performance and scalability of AI workloads
Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines
Passion for advancing the state-of-the-art in reasoning and democratizing access to AI capabilities for researchers, developers, and businesses worldwide

Job Responsibility

Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution
Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques
Contribute to the development of our open-source libraries and frameworks for synthetic data generation and distributed RL frameworks
Publish research in top-tier AI conferences such as ICML & NeurIPS
Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers
Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, synthetic data gen research and proactively identify opportunities to enhance our platform's capabilities and user experience

What we offer

Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect
Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco
Visa sponsorship and relocation assistance for international candidates
Quarterly team off-sites, hackathons, conferences and learning opportunities
Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI

Fulltime

AI Research Engineer, Reinforcement Learning

As a Research Engineer focused on Reinforcement Learning, you will be responsibl...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming experience in Python and/or C++ with familiarity using build tools such as Bazel
Proficiency with PyTorch
Hands-on experience with simulation platforms like Isaac Sim or MuJoCo
Experience training reinforcement learning policies, especially for manipulation or locomotion
Ability to collaborate cross-functionally with hardware, control, data, and QA teams
Demonstrated experience addressing the sim-to-real gap

Job Responsibility

Own the full stack of engineering tasks, from data engineering and model architecture to product deployment
Train NEO on a variety of manipulation and locomotion tasks
Collaborate with hardware teams to bridge the sim-to-real gap for policies trained in simulation
Partner with controls, QA, and data collection teams to ship RL policies to production
Deploy reinforcement learning-trained skills into real-world home environments

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equity

Fulltime

AI Research Engineer - Reinforcement Learning

At Helsing we deliver AI-based capabilities and the enabling infrastructure that...

Location

Germany , Munich

Salary:

Not provided

Helsing

Expiration Date

Until further notice

Requirements

Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring

Job Responsibility

Design, train and deploy agents in complex multi-agent environments
Contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning
Be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems

What we offer

Competitive compensation and stock options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company

Fulltime

Research Engineer in Reinforcement Learning

The Applied AI team at InstaDeep creates optimization solutions for large scale ...

Location

United Kingdom , London

Salary:

70000.00 - 90000.00 GBP / Year

InstaDeep

Expiration Date

Until further notice

Requirements

Professional experience in AI Research, Applied AI/ML or Mathematical Optimization
Proven experience in software development in Python, ideally in projects with codebases of production-grade quality, multiple contributors and version control
Candidates must have the right to work in the UK. Visa sponsorship is not available for this role.
Attendance in the office for 3 days a week mandatory, we do not offer remote roles.

Job Responsibility

Work closely with our clients to build a deep understanding of the use case and the constraints the operational experts face in their daily operations
Translate industrial knowledge into optimization problem statements
Work with InstaDeep colleagues to brainstorm, prototype new research ideas and to iterate and improve on existing implementations by running large-scale experiments and deploying high-quality engineering
Engage in pre-sales activities and to support our Business Development team with your acquired unique combination of domain knowledge and AI expertise.

What we offer

Time to dedicate to personal development, as well as InstaDeep-provided education opportunities
Long-term incentive stock plans
Private Health insurance
Monthly Gym allowance

Fulltime

Machine Learning Research Scientist / Research Engineer, Post-Training

Scale works with the industry’s leading AI labs to provide high quality data and...

Location

United States , San Francisco; Seattle; New York

Salary:

252000.00 - 315000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field
Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning
Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning
Excellent written and verbal communication skills
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
Previous experience in a customer facing role

Job Responsibility

Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities
Design and experiment new approaches to preference optimization
Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness
Publish research findings in top-tier AI conferences

What we offer

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

Fulltime

Senior Reinforcement Learning Engineer

Figure is an AI Robotics company developing a general purpose humanoid. Our Huma...

Location

United States , San Jose

Salary:

150000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Confident writing production quality code in PyTorch
Familiar with online and offline reinforcement learning algorithms: PPO, SAC, etc.
Experience tuning hyperparameters and cost functions for these RL algorithms
Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
Familiarity with general ML evaluation tools such as TensorBoard, Weights&Biases, etc.
Strong mix of industry and research experience, ideally 5-7+ years of experience

Job Responsibility

Develop, train, and deploy reinforcement learning algorithms for locomotion and manipulation tasks
Build simulation infrastructure to support the training of locomotion and manipulation policies for a general purpose humanoid robot at a large scale
Collaborate with the controls team to integrate policies into the existing control stack
Define, test, and evaluate performance metrics for learned policies

Fulltime

Machine Learning Research Engineer - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Practical experience building training VLA models and/or building robotics data
3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models
PhD or equivalent experience in Machine Learning or Robotics
A track record of published research in robotics
Experience conducting data collection and performing evaluations
Strong written and verbal communication skills and the ability to work with cross-functional teams and customers
Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Job Responsibility

Collaborate closely with Robotics customers to drive the industry forward in using VLA data
Develop ML pipelines to train/fine-tune models using Scale’s data
Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning
Develop novel methods for evaluating VLA models, including new robotics industry benchmarks
Partner with cross-functional stakeholders and Scale’s customers to improve data collection
Collaborate with product teams to bring ML outcomes to Scale’s platform

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
may be eligible for additional benefits such as a commuter stipend

Fulltime

Ai Research Scientist, Reinforcement Learning

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foun...

Location

United States , New York

Salary:

122000.00 - 181000.00 USD / Year

Select Country

Research Engineer, Reinforcement Learning

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

Research Engineer, Reinforcement Learning

Research Engineer - Reinforcement Learning

AI Research Engineer, Reinforcement Learning

AI Research Engineer - Reinforcement Learning

Research Engineer in Reinforcement Learning

Machine Learning Research Scientist / Research Engineer, Post-Training

Senior Reinforcement Learning Engineer

Machine Learning Research Engineer - Robotics

Ai Research Scientist, Reinforcement Learning

Our AI answers in your language