Tech Stack
Responsibilities
- Contribute to the foundational technology powering Adaptive ML, with support and guidance from the team, primarily working on the internal LLM stack, Adaptive Harmony.
- Help advance projects by implementing features, running experiments, or improving reliability.
- Write clear, well-structured code, primarily in Python, and learn best practices for performance, testing, and robustness.
- Assist with research on large language models and reinforcement learning, reproducing and analyzing results from recent ML literature.
- Communicate clearly about work and collaborate in a distributed team environment.
Benefits
- Equity
Culture
Mentorship ProgramFast-PacedCross-Functional Teams
Requirements
Required: Master's degree in computer science, engineering, or a related field (final year or recently completed)
Regions: Fr, Us
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About adaptive-ml
Industry: ai
Size: startup
Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact. They provide core infrastructure to tune, evaluate, and serve specialized models at scale, focusing on task-specific LLM development and production-ready workflows.
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