Remote Senior Machine Learning Engineer, Reinforcement Learning

Description:

• Design, implement, and optimize reinforcement learning (RL) algorithms for robotic control and adaptive behaviors in dynamic environments.
• Collaborate with cross-functional teams to develop and deploy innovative solutions that enhance robotic systems' performance.

Requirements:

• Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
• Experience with reinforcement learning algorithms and deploying them on real-world systems.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with simulation environments (e.g., MuJoCo, Isaac Gym).
• Strong understanding of probability, statistics, and optimization.

Benefits:

• Daily free lunch to foster team connection.
• Flexible PTO for personal time off.
• Comprehensive medical, dental, and vision coverage.
• 6 weeks fully paid parental leave, with additional time for birthing parents.
• 401(k) retirement plan through Empower.
• Generous employee referral bonuses.