Note: The job is a remote job and is open to candidates in USA. CoreViva is a whole-body MRI startup building AI tools that help radiologists work faster and give patients clearer answers. They are seeking a Machine Learning Engineer to own the ML side of their imaging work, transforming clinical questions into deployable models and designing the necessary production systems.
Responsibilities
- You'll own the ML side of our imaging work end to end, transforming fuzzy clinical questions to a model that gets shipped and used by radiologist as well as designing the production systems around it
- The work spans medical imaging models for segmentation and predictions on our whole-body MRI data to more agentic solutions that will help us scale as well as the evals and MLOps that surround them
- You'll stay close to the radiologist who depend on what you ship and translate clinical insights into modeling decisions
Skills
- Hands on experience building and deploying ML models in production (ideally in medical imaging)
- Depth in modern imaging ML: segmentation architectures (2D/3D-UNETs, etc), Dice, Hausdorff
- Experience with MLOPs fundamentals: data versioning, experiment tracking, model registry, drift monitoring, containerized deployments
- Product builder mentality: comfortable making product calls and shipping things that get used
- Comfortable with early-stage ambiguity: takes a vague problem, scopes it, and drives it completion
- Strong communication: work directly with the clinicians/founders, and a small engineering team
- Experience with DICOM/NIFTI pipelines and medical imaging frameworks (MONAI)
- Familiarity with MRI imaging sequences (T1, T2, DIXON, etc)
- Prior experience as an early engineer at a startup
- Agentic-AI/LLM experience
- Streaming ASR or speech-to-text experience
Company Overview