Machine Learning Engineer - Intern

Research institute focused on tackling foundational challenges in AI and Robotics to develop intelligent machines that enhance quality of life.
Machine Learning
Software Engineering Intern
In-Person
AI · Robotics

Description For Machine Learning Engineer - Intern

Boston Dynamics AI Institute is at the forefront of advancing AI and Robotics technology, with a mission to solve fundamental challenges in the field. As a Machine Learning Engineering Intern, you'll join our dynamic team in Cambridge, MA, working on cutting-edge technology for robotic systems development and deployment.

The role offers a unique opportunity to work with state-of-the-art ML algorithms, including DNNs, GNNs, Transformers, and Reinforcement Learning. You'll be involved in every aspect of the ML lifecycle, from training to deployment, using modern frameworks like PyTorch Lightning and Ray. This hands-on experience will allow you to work directly with research and applied science teams, contributing to the transition of models from conception to production.

We're looking for students pursuing a BS or MS in Computer Science or related fields, with strong Python skills and knowledge of deep learning techniques. You'll need proficiency in data science tools and frameworks, along with familiarity with modern software development practices. Additional experience with Docker, Kubernetes, or robotics simulation tools would be valuable.

This internship provides an exceptional opportunity to gain practical experience in implementing and scaling state-of-the-art ML models for robotics, working with high-performance training systems, and contributing to the advancement of robotic capabilities. You'll be part of a collaborative and innovative environment that encourages rapid iteration and creative problem-solving.

Join us in our mission to enhance the quality of life through intelligent machines, working in an inclusive environment that values diversity and equal opportunities for all employees.

Last updated 2 days ago

Responsibilities For Machine Learning Engineer - Intern

  • Train, deploy, and maintain ML algorithms on cloud and on-premise infrastructure
  • Develop and refine ML lifecycle processes, pipelines, and tools
  • Contribute to data, model, and experimentation pipelines
  • Collaborate with research and applied science teams
  • Ensure code quality through code reviews and best practices

Requirements For Machine Learning Engineer - Intern

Python
  • Currently pursuing a BS or MS in Computer Science, Engineering, Data Science, or related field
  • Experience with Python
  • Knowledge of deep-learning techniques in NLP and Computer Vision
  • Proficiency in data science tools and frameworks (NumPy, TensorFlow, PyTorch, Jax)
  • Familiarity with git, issue tracking, CI/CD, and modern software development methodologies

Benefits For Machine Learning Engineer - Intern

  • Hands-on experience implementing state-of-the-art ML models for robotics
  • Experience with high-performance training systems
  • Collaborative and innovative environment
  • Opportunity to contribute to robotics advancement

Interested in this job?

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