Machine Learning Engineer

Valar LabsPalo Alto, United States
Full TimeOn-siteMidLimited info disclosed
41 views0 applications

Description

Valar Labs nav-bar#showMobileNav"> nav-bar#hideMobileNav"> View jobs subscribe#hideSubscriptionModal"> Subscribe to updates Enter an email address to receive updates whenever we post new job openings. subscribe#handleSubmitSubscriptionForm" action="/23876" accept-charset="UTF-8" data-remote="true" method="post">Email address Confirm your email Check your inbox for an email containing a link to activate your subscription. You're now subscribed We'll let you know whenever we post a new opening on our job board. Back to all jobs 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 Tell a friend Share on LinkedIn Share on X Apply now Apply here Name(required) Email address(required) Phone number LinkedIn profile https://linkedin.com/in/ GitHub profile https://github.com/ Resume Attach resume/CV This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Powered by Polymer Polymer is the leading hiring platform and applicant tracking system for growing businesses.