Blue Coding

Data Science / ML Engineer (AcS)

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Job Description

This position is open exclusively to candidates based in LATAM countries.
 
 
What are we looking for?

In this opportunity, we are looking for a Data Science/ML Engineer to work with one of our foreign clients, a company that's a leading provider of AI evaluation and optimization solutions, and to detect performance issues in large language models.

If you are fully fluent in English, proactive, communicate well, like to solve problems, and have a strong attention to detail, this role might be a great fit for you! Our jobs are fully remote, and you will be integrated directly into the client’s team, gaining valuable experience and forming meaningful connections.

What’s unique about this job?

  • In this role, you’ll help develop advanced reinforcement learning (RL) environments and scalable evaluation systems that guide and shape the behavior of cutting-edge AI models.


Here are some of the exciting day-to-day challenges you will face in this 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.

    • You will shine if you have:
  • 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.

    • It doesn’t hurt if you also have:
  • Knowledge of Codex or Claude Code.
  • Experience in integrating AI with a system would be an advantage.
  • Understanding of Reinforced Learning concepts - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops.
  • Familiarity with instrumentation, metrics, and data pipelines for RL evaluation.
  • Expertise in planning your own work

    • Here are some of the perks we offer you:
  • Salary in USD
  • 100% Remote

    • Apply Now
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