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Staff Machine Learning Engineer - AI Imaging

Staff Machine Learning Engineer - AI Imaging

Discover InternationalUnited States
6 days ago
Job type
  • Full-time
Job description

Staff Machine Learning Engineer

We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact?

Our client — a fast-growing AI company revolutionising healthcare — is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems.

This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry.

Responsibilities :

  • Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions.
  • Mentor and guide other engineers, setting standards and shaping the company’s ML engineering practices.
  • Architect robust systems that support high-volume batch and real-time inference.
  • Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment.
  • Build and maintain pipelines for data ingestion, training, evaluation, and model serving.
  • Implement monitoring, observability, and reliability frameworks to ensure production-grade performance.
  • Optimise performance across the ML stack — balancing latency, scalability, and cost-efficiency.

Requirements :

  • Experience building and deploying ML models in production environments.
  • Strong programming background in Python , Go , C++ , or Java .
  • Experience with distributed training , data pipelines , and real-time inference systems .
  • Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) .
  • Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker).
  • Why apply?

  • Competitive compensation and equity package.
  • Flexible and hybrid work options across major U.S. tech hubs.
  • A high-growth, collaborative culture where ownership and innovation are valued.
  • A mission-driven environment — shaping the future of AI-powered healthcare .
  • To apply please contact Sam Shinner at Discover International

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