Senior Reinforcement Learning Engineer Job at Figure (San Jose)

Senior Machine Learning Engineer, Reinforcement Learning

About the Role: We are looking for a Senior Machine Learning Engineer with stron...

Location

United States , Beverly Hills, CA

Salary:

150000.00 - 185000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems
Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas
Strong Python skills and experience with modern ML frameworks such as PyTorch
Experience designing experiments, evaluating model behavior, and improving results through systematic iteration
T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning
Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments
Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it

Job Responsibility

Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches
Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior
Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility
Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity
Work closely with engineers and other partners to help integrate successful ML work into usable product systems
Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

Senior Staff Reinforcement Learning Engineer – Spot Behavior

Do you have a passion for applying machine learning to drive real-world robot be...

Location

United States , Waltham

Salary:

154000.00 - 212000.00 USD / Year

Boston Dynamics

Expiration Date

Until further notice

Requirements

Master’s degree or higher in Robotics, Mechanical Engineering, Computer Science, or a related field
3+ years of experience with a proven track record of deploying models on hardware
Proficiency in both Python and C++ programming languages
Strong analytical and debugging skills
Familiarity with modern deep RL toolkits and architectures

Job Responsibility

Design and deploy reinforcement learning systems to improve Spot’s mobility and robustness
Integrate learning-based solutions into Spot’s existing planning and control systems in collaboration with experts across controls, perception, and planning
Build and maintain systems that support reliable, scalable, and reproducible RL training
Test and debug your work using our in-house fleet of Spot robots
Write high-quality, maintainable code in both Python and C++
Provide mentorship and technical guidance on ML best practices

What we offer

medical, dental vision, 401(k), paid time off, annual bonus structure

Fulltime

Senior Data Scientist/AI Engineer (Reinforcement Learning)

Our client is a rapidly growing company specializing in delivering modern cloud ...

Location

Poland , Katowice

Salary:

28000.00 - 32000.00 PLN / Month

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

Over 5 years of experience in software engineering in Python
At least 3 years of experience in the position of Data Scientist, Machine Learning/Environment Engineering
Working hours from 2:00 PM to 10:00 PM
Practical knowledge of AI frameworks (Langchain, Langraph, mcp-server)
Extensive practical experience in working with artificial intelligence, including instant engineering and climate coding

Job Responsibility

Designing and deploying RL environments for large-scale agent evaluation and reinforcement learning experiments
Create pipelines for task generation, dynamic datasets, and scripted environments with controlled complexity and stochasticity
Develop validators and reward models to automatically evaluate trajectories and assess model inference
Collaborate with infrastructure and systems engineers to ensure scalability, reproducibility, and equip environments with tools for detailed telemetry
Design API interfaces and orchestration structures for running, resetting, and evaluating agents in various environments
Optimization of environment performance, reward logging, and reproducibility in distributed configurations

What we offer

Pakiet medyczny
Pakiet sportowy
Attractive salaries
Possibility of full remote work
Participation in interesting projects

Fulltime

Senior Machine Learning Engineer, Search Assistant

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , San Jose

Salary:

361300.00 - 510000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
Proficiency in Python, Java, or Scala
Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
Strong technical leadership, system design, communication, and problem-solving skills
MS or PhD in Computer Science, Statistics, or a related field

Job Responsibility

Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
Design, run, and analyze online A/B experiments tied to key product and business KPIs
Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Machine Learning Engineer - Rider Pricing & Incentives

Uber Marketplace is at the heart of Uber’s business, with Rider Pricing & Incent...

Location

United States , Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 5+ years of full-time engineering experience
Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
Experience with machine learning and optimization algorithms

Job Responsibility

Take a lead on pricing ML and optimization problems, by developing and implementing new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs
Improve the performance of models and algorithms powering pricing algorithms and promotion targeting
Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap
Mentor more junior team members by role modeling ML best practices
Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth
Help Uber’s end-users by making mobility options accessible and affordable

What we offer

Bonus program
Equity award
401(k) plan

Fulltime

Senior Machine Learning Engineer, Pricing

We’re looking for a Machine Learning Engineer to design, deploy, and own product...

Location

Canada

Salary:

141000.00 - 194000.00 CAD / Year

Lime

Expiration Date

Until further notice

Requirements

5+ years of industry professional software engineering experience deploying machine learning methods at scale in production level systems
2+ years of experience in Reinforcement Learning with expertise implementing customized reward functions, policy optimization, and multi-armed bandits
2+ years of backend development experience (Ruby on Rails is a plus)
Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
Experience with cloud computing services or platforms (preferably AWS)

Job Responsibility

Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems
Implement and own backend pricing services and APIs consumed by the Lime App
Architect and build scalable, reliable platforms and services that power pricing decisions and enable new product initiatives
Build trust with leadership to influence the company's pricing strategy through reasoning and communication of model performance and technical vision
Collaborate with other Software Engineers and Data Scientists to raise the bar on ML standards and Engineering Excellence
Mentor and support engineers on the team, helping grow technical depth and develop future leaders

What we offer

Offers Equity
Offers Bonus

Fulltime

Senior Machine Learning Engineer

The goal of a Senior Machine Learning Engineer at Scale is to leverage technique...

Location

United States , San Francisco; New York; Washington

Salary:

216300.00 - 300300.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
Solid background in algorithms, data structures, and object-oriented programming
Strong programing skills in Python, experience in Tensorflow or PyTorch
This role will require an active security clearance or the ability to obtain a security clearance

Job Responsibility

Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Build scalable machine learning infrastructure to automate and optimize our ML services
Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment

What we offer

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

Fulltime

Senior Machine Learning Engineer - Model Evaluations

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, a...

Location

United States , San Francisco; St. Louis; New York; Washington

Salary:

216300.00 - 300300.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings
Strong programming skills in Python
experience with TensorFlow or PyTorch
Background in algorithms, data structures, and object-oriented programming
Experience with LLM pipelines, simulation environments, or automated evaluation systems
Ability to convert research insights into measurable evaluation criteria
This role will require an active security clearance or the ability to obtain a security clearance

Job Responsibility

Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations
Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes
Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing
Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes
Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems
Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases
Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

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Senior Reinforcement Learning Engineer

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