Senior Machine Learning Engineer (ML Platform)
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026.
Join DeepHealth as a Senior Machine Learning Engineer, where you will be responsible for building, running, and evolving the ML monorepo used by the X-ray, CT, and MRI machine learning group. You will own the architecture, tooling, and engineering standards of the codebase, and lead the team's agentic coding strategy. This hands-on role requires experience in taking models to production, solid PyTorch knowledge, and the ability to work autonomously in a distributed team.
Missions
- Own the architecture and roadmap of the ML Monorepo, including module boundaries, shared abstractions, and experiment tracking.
- Build and run the engineering tooling around the codebase, including continuous integration, testing, dependency management, and GPU job scheduling.
- Drive the team's agentic coding strategy, defining how AI coding agents are used in the monorepo, and setting up the tooling, guardrails, and conventions.
Profil recherché
- Experience taking models to production: model packaging, inference serving, and performance and reliability constraints (required)- Ability to work autonomously in a distributed, multi-site team, with clear verbal and written communication in English (required)
- Solid PyTorch knowledge and practical experience with model training and profiling (required)
- Contributions to open-source ML tooling (preferred)
- Experience running ML workloads on a cloud platform, ideally GCP (Vertex AI, Artifact Registry, IAM, storage), and with containerization (required)
- HPC and Slurm experience (preferred)
- 5+ years of software engineering experience, including a significant portion building infrastructure or tooling used by machine learning teams, such as an ML platform or a training framework (required)
- Strong Python skills and software engineering fundamentals: API design, testing, refactoring, and attention to developer experience (required)
- Master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience (required)
- Medical imaging experience (DICOM, 3D volumes, large images) (preferred)
- Ability to work closely with researchers, translate recurring pain points into shared tooling, and push back constructively when needed (required)
- Follows all local, regional and country laws concerning employment
- Follows data privacy, compliance, safety and confidentiality standards at all times
- Adapts and is willing to learn new tasks, methods, and systems
- Follows all DeepHealth policies and procedures
- Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines
- Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance
- Completes job responsibilities in a quality and timely manner
- Practices universal safety precautions
- Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors
- Promotes good public relations on the phone and in person