Machine Learning Intern
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
The role
Line 1: Join a cutting-edge ML team to advance protein sequence, structure, and function modeling during a 3-month summer internship (June–August 2026) in Somerville, MA.
Line 2: You will contribute to state-of-the-art research on generative modeling for proteins and therapeutic discovery, including LLM-based workflows.
Line 3: Work with a mentor to develop and implement a summer research project and deliver high-quality code within a cross-functional team.
Line 4: Project examples include building generative models of protein sequence and structure, modeling protein interactions, predicting biophysical properties, learning new protein representations, and applying generative designs to real drug programs.
Line 5: Key experiences include brainstorming with your mentor, presenting findings to the Computational Sciences group, delivering a capstone talk at the Summer Symposium, and engaging in mentor-led events.
Line 6: Ideal candidates are current PhD students in Applied Math, CS, Computational Biology, or Statistics, with experience in ML methods, modern DL frameworks (PyTorch, JAX, TF), Python (NumPy/SciPy), and protein data; familiarity with agentic LLM-enabled tools is a plus.
Line 2: You will contribute to state-of-the-art research on generative modeling for proteins and therapeutic discovery, including LLM-based workflows.
Line 3: Work with a mentor to develop and implement a summer research project and deliver high-quality code within a cross-functional team.
Line 4: Project examples include building generative models of protein sequence and structure, modeling protein interactions, predicting biophysical properties, learning new protein representations, and applying generative designs to real drug programs.
Line 5: Key experiences include brainstorming with your mentor, presenting findings to the Computational Sciences group, delivering a capstone talk at the Summer Symposium, and engaging in mentor-led events.
Line 6: Ideal candidates are current PhD students in Applied Math, CS, Computational Biology, or Statistics, with experience in ML methods, modern DL frameworks (PyTorch, JAX, TF), Python (NumPy/SciPy), and protein data; familiarity with agentic LLM-enabled tools is a plus.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.
? Senior ML Research Scientist, End-to-End Autonomous Driving ? Founding Lead Machine Learning Engineer ? Machine Learning Engineer Intern ? Machine Learning Research Scientist, Behavior Planning and Prediction ? Founding Lead Machine Learning Engineer ? Senior Machine Learning Engineer - Simulation Scenario Generation