Adaptive ML

Member of Technical Staff, Intern

Adaptive ML

internship

Posted on:

Location Type: Remote

Location: New York • United States

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Job Level

Entry Level

Tech Stack

Distributed SystemsPythonPyTorch

About the role

  • Contribute to the foundational technology powering Adaptive ML, with support and guidance from the team
  • Help advance projects by implementing features, running experiments, or improving reliability
  • Communicate clearly about your work and learn to collaborate in a distributed team environment
  • Write clear, well-structured code (primarily in Python; exposure to systems programming is a plus, not a requirement)
  • Help debug issues in distributed or ML-heavy systems
  • Learn best practices for performance, testing, and robustness
  • Assist with research on large language models and reinforcement learning
  • Reproduce and analyze results from recent ML literature
  • Support empirical experiments and help document findings
  • Interns are encouraged to explore both areas of engineering and research

Requirements

  • You are in the final year of pursuing (or recently completed) a Master’s degree in computer science, engineering, or a related field
  • Comfortable programming in Python
  • Interest in machine learning, AI systems, or large language models
  • Curious, proactive, and eager to learn in a fast-paced environment
  • Coursework or projects in machine learning, distributed systems, or systems programming (nice-to-haves)
  • Familiarity with PyTorch, JAX, or similar frameworks (nice-to-haves)
  • Experience with research projects or open-source contributions (nice-to-haves)
Benefits
  • Paid internship
  • Mentorship and close collaboration with senior engineers and researchers
  • Exposure to real-world, production AI systems
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonmachine learningdistributed systemssystems programminglarge language modelsreinforcement learningperformance testingrobustnessempirical experimentsdebugging
Soft Skills
communicationcollaborationcuriosityproactivityeagerness to learnadaptabilityteamworkproblem-solvingcritical thinkingtime management
Certifications
Master’s degree in computer scienceMaster’s degree in engineeringrelated field degree