Machine Learning Engineer

Valar Labs; Palo Alto (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Valar Labs in Palo Alto, CA is seeking a Machine Learning Engineer to architect the deep learning platform, train robust interpretable models for oncology and urology tasks, and collaborate with oncologists to design clinically relevant datasets. You will deliver end-to-end DL solutions from research to deployment.

The role focuses on building clinical-grade AI used by oncologists worldwide; candidates should publish in Medical AI venues and have experience deploying production ML models.

Qualifications

• Publications in top conferences/journals in the Medical AI space.
• Ability to develop modular replicable machine learning platforms.
• Strong understanding of PyTorch, PyTorch Lightning and Cloud Infrastructure for machine learning.
• Experience deploying production AI models.
• (Optional) Experience with Pathology data.

Responsibilities

• Architect key components of the deep learning platform
• Train robust and interpretable deep learning models for impactful medical tasks
• Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions
• Build full stack deep learning solutions from research to deployment

Skills

Publications in Medical AI

Modular ML platforms

Production ML deployment

Pathology data (optional)

PyTorch / PyTorch Lightning

Tools

PyTorch

PyTorch Lightning

Cloud infrastructure for ML

Job description

Valar Labs

Machine Learning Engineer

• Engineering
• Full-time
• Palo Alto, CA

Valar Labs is a well funded, fast-growing AI diagnostics startup backed by leading VCs revolutionizing oncology and urology through cutting-edge technology and innovation. We are dedicated to improving patient outcomes through the development and deployment of novel AI-driven diagnostics to reduce treatment uncertainty for oncologists and patients. Our team comprises accomplished researchers, and passionate individuals committed to shaping the future of healthcare.

Machine Learning Engineers at Valar Labs build clinical grade AI that is used by oncologists worldwide.

Key Responsibilities

• Architect key components of the deep learning platform
• Train robust and interpretable deep learning models for impactful medical tasks
• Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions
• Build full stack deep learning solutions from research to deployment

Qualifications

• Publications in top conferences/journals in the Medical AI space
• Ability to develop modular replicable machine learning platforms
• Strong understanding of PyTorch, PyTorch Lightning and Cloud Infrastructure for machine learning
• Experience deploying production AI models
• (Optional) Experience with Pathology data