Sr. Machine Learning Engineer
New
D
Dyno TherapeuticsBiotech AI
Remote; Watertown, Massachusetts, United StatesFull-TimeSenior
Salary$178,662.29 – $213,680.10/year
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerKubernetesMachine LearningSoftware EngineeringMLOps
Requirements
- 5+ years professional experience building software for machine learning.
- Strong software engineering fundamentals (OO design, testing, version control, dependency management, API design).
- Experience containerizing code for remote environments including Docker and Kubernetes.
- Experience with large-scale distributed training or inference with Ray or a similar framework.
- Familiarity with ML performance engineering (profiling, resource usage, custom kernels).
- Experience designing and owning technically complex systems through the full lifecycle.
- Ability to contribute to technical direction through design reviews and documentation.
- Proactive, problem-solving mindset.
Responsibilities
- Build modular, generalizable, and portable ML training systems to support protein design models.
- Improve the scalability, reliability, and performance of ML training and inference infrastructure.
- Optimize model performance using GPU profiling, custom kernels, and accelerated computing frameworks.
- Develop and standardize agentic AI workflows to increase research velocity.
- Partner with AI scientists and protein engineers to translate research prototypes into robust systems.
- Contribute across the ML engineering stack from modeling to multi-node orchestration.
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