8 reinforcement learning engineer jobs at 4 companies in Fall River, MA

2w
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Member of Technical Staff – Senior Engineer, Reinforcement Learning – Policy Post-Training
Cambridge or San Francisco
$255k-$340k/yr OnsiteFull Time
Walden Robotics
Walden Robotics: Builds general-purpose robots and advances robot manipulation through research and development.
Hands-on RL experience for manipulation, sim-to-real transfer, reward and curriculum design, strong software engineering, and ability to run large-scale training and experiments.
Isaac, MuJoCo
2w
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Member of Technical Staff – Senior Engineer, Reinforcement Learning for Wholebody Control
Cambridge, Massachusetts, United States
$180k-$240k/yr OnsiteFull Time
Walden Robotics
Walden Robotics: A developing general-purpose robots and related control and simulation systems to improve quality of life.
Proven RL experience for continuous control, sim-to-real transfer on real robots, control theory knowledge, large-scale GPU simulation, strong Python and C++ skills, and software engineering for training/deployment pipelines.
Python, C++
2mo
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Staff Reinforcement Learning Research Engineer
Waltham, Massachusetts, United States
$155k-$200k/yr OnsiteFull Time
Boston Dynamics
Boston Dynamics: Building advanced mobile robots for industrial and warehouse automation.
3+ YOEMS with 3+ years or PhD in ML, Robotics; deployed policies on physical robots; RL toolbox and simulation expertise; PyTorch/JAX; software fundamentals
Reinforcement Learning Toolboxes (RSL-RL, CleanRL, RLlib, Stable Baselines), Simulation and Rendering Tools (Isaac Lab, MuJoCo, MjWarp, MjLab), PyTorch, JAX, ONNX, Triton, TensorRT, Bazel, Docker, CI/CD
2w
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Member of Technical Staff – Senior Engineer, Reinforcement Learning – Policy Post-Training
San Francisco or Cambridge
$255k-$340k/yr OnsiteFull Time
Walden Robotics
Walden Robotics: Builds general-purpose robots and conducts research to advance manipulation and sim-to-real learning.
Proven RL experience on real-world or large-scale problems, manipulation and sim-to-real experience, strong software engineering and experimental ownership, ability to mentor engineers.
Isaac, MuJoCo
1mo
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Senior Machine Learning Engineer
Wellesley or New York City
$111k-$222k/yr HybridFull Time
CVS Health
CVS HealthNYSE: CVS: Provides retail pharmacy, health insurance, and pharmacy benefit management services.
5+ YOE5+ years building ML systems in production, 5+ years Python, familiarity with PyTorch/TensorFlow, MLOps (Kubeflow, Vertex), 2+ years SQL with Snowflake/BigQuery, 2+ years system design leadership, experience in reinforcement learning/causal inference/LLMs, mentoring experience, strong communication.
Python, PyTorch, TensorFlow, Kubeflow, Vertex, SQL, Snowflake, BigQuery, Node.js, React, Spark, Kafka, Airflow
2w
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Member of Technical Staff – Engineer, RL and Control
Cambridge, Massachusetts, United States
$158k-$210k/yr OnsiteFull Time
Walden Robotics
Walden Robotics: A robotics building general-purpose humanoid robots and advancing learned controllers to operate reliably on real hardware.
Strong RL or model-based control foundations, real-robot experience, proficiency in Python and C++ (or willingness to grow), simulation and sim-to-real experience, and curiosity to iterate quickly.
Python, C++, Drake, Mujoco, PyTorch, WARP, JAX
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Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)
Cambridge or McLean or San Jose or New York
$219k-$272k/yr OnsiteFull Time
Capital One
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEPhD or MS+2 years in CS/EE/AI/math; experience building large deep learning models and LLMs, publications, training/deploying models, strong ML foundation and software engineering skills.
PyTorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs
2w
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Member of Technical Staff – Staff Engineer, Multimodal Post-Training
Cambridge or San Francisco
$319k-$425k/yr OnsiteFull Time
Walden Robotics
Walden Robotics: Builds general-purpose robots and develops model post-training techniques to produce reliable real-world robot policies.
Deep hands-on post-training experience (SFT, RLHF/DPO, distillation, RL), strong reinforcement learning and multimodal LLM experience, program ownership, measurement and evaluation expertise.