Reinforcement Learning Engineer (Fully Remote)

Healthtech Company; United States; Remote; USD 250,000 - 400,000; Full time

Benefits offered by this job

Remote work

Job summary

Healthtech Company is seeking a senior RL researcher to build reinforcement learning environments for clinical reasoning and tool use. You will shape the full evaluation loop, from task design and data creation to environment implementation and delivery to model-training teams.

Qualifications include a PhD in CS/ML or 3+ years of RL research, plus hands-on experience developing environments for post-training evaluation in a leading AI company.

Qualifications

• PhD in computer science, machine learning, or related field, or at least three years of RL research experience.
• At least three years of research or industry experience, or status as final-year PhD candidate or postdoctoral researcher.
• Hands-on experience building reinforcement learning environments for post-training or agent evaluation in a leading AI company.

Responsibilities

• Build reinforcement learning environments for multi-step clinical reasoning, including tool use, state transitions, and measurable success criteria.
• Design and calibrate reward functions, grading rubrics, and language model judges, and test them for reward hacking and misleading scores.
• Own the full loop from task design and data creation through environment implementation, evaluation, and delivery to model-training teams.

Skills

RL research

Environment design

Reward design

Evaluation metrics

Education

PhD in CS/ML

3+ years RL experience

Job description

• Build reinforcement learning environments for multi-step clinical reasoning, including tool use, state transitions, and measurable success criteria.
• Design and calibrate reward functions, grading rubrics, and language model judges, and test them for reward hacking and misleading scores.
• Own the full loop from task design and data creation through environment implementation, evaluation, and delivery to model-training teams.

Qualifications:

• PhD in computer science, machine learning, or a related field, or at least three years of full-time reinforcement learning research experience.
• At least three years of research or industry experience, or status as final-year PhD candidate or postdoctoral researcher.
• Hands-on experience building reinforcement learning environments for post-training or agent evaluation in a leading AI company.

Compensation and Location:

• Base salary: $250,000 to $400,000 USD annually.
• Remote work with primary location in Canada; must be authorized to work in Canada or the United States.
• Visa sponsorship not available.

The company builds decision-support tools for clinical care, using reinforcement learning to enhance clinical reasoning. It is a healthtech team that collaborates with clinical experts to improve model outputs and develop high-quality clinical AI systems.