Sr. Machine Learning Engineer - Machine Learning at Dyno Therapeutics
About the role
Dyno Therapeutics seeks a senior machine learning engineer to build and scale ML infrastructure, training systems, and agentic AI workflows for genetic medicine research. The role involves collaborating with AI scientists and protein engineers to optimize model performance, design distributed training pipelines, and translate research prototypes into robust, production-grade systems. This full-time position is based in Watertown, MA or remote. Responsibilities Build modular and portable ML trai…
Interview process at Dyno Therapeutics
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Dyno Therapeutics interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.