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Data Science / ML Engineer (AcS)

1 hour, 46 minutes ago
Latin America
Full-time
Mid Level
AI Research Scientist
Software Development
LLM Machine Learning Python Reinforcement Learning
Apply Now
Blue Coding

Blue Coding

Blue Coding connects companies with top software development talent in Latin America, offering nearshore staff augmentation and outsourced engineering teams tailored to meet business needs.

Internet Software & Services
51-250
Founded 2014
View All Jobs 4

Description

  • Design and implement RL environments for 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 automatically evaluate model reasoning.
  • 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 of experience in a Data Scientist, Machine Learning, or Environment Engineering role, or a similar position.
  • Ability to work from 6 AM to 2 PM Pacific time.
  • Bachelor's degree in Computer Science or a related field.
  • Practical knowledge of AI frameworks such as LangChain, LangGraph, and mcp-server.
  • Extensive practical experience working with AI, including prompt engineering and vibe coding.
  • Fully fluent in English.
  • Experience with Codex or Claude Code is preferred.
  • Experience integrating AI into a system is preferred.
  • Understanding of reinforcement learning concepts, including reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops.
  • Familiarity with instrumentation, metrics, and data pipelines for RL evaluation.
  • Ability to plan and manage your own work.

Benefits

  • Salary paid in USD.
  • 100% remote work.
  • Opportunity to join a fully remote, internationally distributed team.
  • Direct integration into the client’s team, offering exposure to meaningful collaboration and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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