Machine learning engineer
Core
Develop, maintain, and deploy machine learning models for a continuous glucose monitoring wearable to empower users with health insights.
Role type
senior IC machine learning engineer (health wearable)
Builds
ML models and pipelines for cloud and compute-constrained devices
Domain
health-tech / deep-tech
Deliverable
production ML models
Required skills
Python, PyTorch/Jax/TensorFlow, MLOps tools, VertexAI, model training and evaluation, experiment tracking, hyperparameter tuning
Preferred skills
distributed training (Kubernetes/Ray), pipeline orchestration (AirFlow/Prefect/Dagster), model quantization and pruning, C++ or Rust
Technologies
VertexAI, Kubernetes, Ray, AirFlow, Prefect, Dagster, PyTorch, Jax, TensorFlow
Responsibilities
Develop and maintain model training and evaluation code; design and deploy full ML pipelines in cloud and on devices; use cloud-based ML platforms to scale workflows; employ MLOps tools for monitoring and selection
Seniority
Mid-level, hands-on IC