The mission is to bring the power of E2E machine learning and robotics to John Deere to revolutionize how robotic systems are built
Job Summary
The mission is to bring the power of E2E machine learning and robotics to John Deere to revolutionize how robotic systems are built.
You will design state-of-the-art online and offline reinforcement learning algorithms for complex tasks with long horizons while ensuring strict safety requirements.
The role offers visa sponsorship and requires a BS/MS/PhD in CS or related field with at least 3 years of delivering high-performance RL products.
Matching Summary
The mission is to bring the power of E2E machine learning and robotics to John Deere to revolutionize how robotic systems are built.
Salary
Base: $192,000 - $378,000 annually; Bonus: Eligible for Blue River's bonus programs; Benefits: Eligible for Blue River's benefit programs
Skills & Requirements
Must-have
Reinforcement Learning algorithm development
PyTorch deep learning framework proficiency
Simulation to real-world transfer expertise
Python coding for complex systems
Long-horizon task optimization
Nice-to-have
ROS or robotics middleware experience
CUDA and GPU framework background
Embedded systems development knowledge
Multidisciplinary team collaboration
Natural language instruction integration
Key Requirements
BS/MS/PhD in CS or related field
3+ years delivering high-performance RL products
Proven track record deploying RL models to production