Data Science / ML Engineer
Blue Coding
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments.
- Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity.
- Develop verifiers and reward models to score trajectories and evaluate model reasoning automatically.
- Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry.
- Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments.
- Optimize environment performance, logging, and reward reproducibility across distributed setups.
Requirements
- Strong experience in Python software engineering.
- Minimum 3 years in a Data Scientist, Machine Learning/Environment Engineering position or similar
- Ability to work from 6 AM - 2 PM Pacific time.
- Bachelor's degree in Computer Science or related field
- Practical knowledge of AI frameworks (Langchain, Langraph, mcp-server ).
- Extensive practical experience in working with AI, including prompt engineering**and vibe coding.
Benefits
- Salary in USD
- 100% Remote
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonreinforcement learningtask generation pipelinesdynamic datasetsverifiersreward modelsAPIsorchestration frameworksenvironment performance optimizationprompt engineering