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

Applied Research Lead, Reinforcement Learning

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant engineering or research experience in applying reinforcement learning to align language, image, and/or video generation models
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in applying reinforcement learning based techniques to improve the quality and controllability of the models that power Runway’s research and tools

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

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 - 400000.00 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 Associate

The Machine Learning research team at Hewlett Packard Labs seeks highly motivate...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience in deep learning, LLM, Agentic AI, and reinforcement learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Experience in Machine Learning frameworks like PyTorch - required
Strong programming skills and experience with Python
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Demonstrated effective communication and collaboration skills
Demonstrated ability for original research papers published in top-tier conferences or journals.

Job Responsibility

Provide thought leadership and technical influence both internally and externally to HPE
Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Publish in top AI conferences and workshops, including NeurIPS, AAAI, and ICML.

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

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

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

Reinforcement learning intern

As a Reinforcement Learning Intern, you will help develop and implement learning...

Location

France , Paris

Salary:

Not provided

Enchanted Tools

Expiration Date

Until further notice

Requirements

BSc holder in Robotics, Engineering, Computer Science, or related field
Coursework or project experience in reinforcement learning or learning-based control
Strong Python skills and knowledge of a deep learning framework PyTorch, JAX, or TensorFlow
Familiarity with simulation environments such as Isaac Sim, Mujoco, or Gazebo
Solid analytical and problem-solving abilities

Job Responsibility

Develop, debug, and test reinforcement learning algorithms for locomotion and navigation on a dynamically balancing base
Extend simulation environments (Isaac Sim / Isaac Lab) to support training and evaluation of RL policies
Integrate trained policies into the Mirokai software stack and validate them on physical robots
Analyze performance, stability, and sim-to-real transfer aspects
Stay up to date with recent research in reinforcement learning for robotics

Thesis project: reinforcement learning environments for ai agents

Your thesis will connect to our ongoing work with Predli Studio and help shape h...

Location

Sweden , Stockholm

Salary:

Not provided

Predli

Expiration Date

Until further notice

Requirements

Enrolled in a master’s program in Machine Learning, AI, Data Science, Computer Science, or Engineering Physics (or a related field)
Curious, analytical, and eager to explore how AI can be applied in practice
Skilled in Python and Typescript
Confident in taking initiative, communicating ideas clearly, and working both independently and collaboratively
Excited to learn from and contribute to a small, high-impact team where knowledge sharing and experimentation are part of everyday life
Preferably based in Stockholm, with the possibility to work partly remote
Fluent in English

Job Responsibility

Focus on the development of advanced RL scenarios that challenge agent adaptability, generalization and decision-making under uncertainty, providing valuable insights into the capabilities and limitations of current RL approaches
Collaborate with engineers and researchers to define a clear scope that fits both academic requirements and ongoing applied AI work

What we offer

Work alongside experienced AI engineers and researchers who will collaborate with you throughout your thesis
Get access to real-world data, infrastructure, and insights from ongoing AI projects
Contribute directly to the development of Predli Studio and help shape how organizations build and deploy AI in practice
Be part of a collaborative environment where learning, curiosity, and knowledge sharing are valued and encouraged
Gain exposure to both the consulting and product sides of applied AI
Possibility to continue your journey with us after your thesis

Research Engineer, Reinforcement Learning

1X Technologies

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 01, 2025

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