Staff ML Engineer

• →10+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale 
• →Master’s or PhD degree in Computer Science or a related field
• →Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems.
• →Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• →Proficiency in Python, C/C++ (or equivalent)
• →Ability to create self-contained, reusable, and testable modules and passionate about prototyping 
• →Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms
• →Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system
• →Bonus: Experience working at a high-growth startup or tech company
• →Bonus: Publications and research experiences in ML venues and/or vision/language applications

Location

This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. 

Base Salary

The range for this role is $190,000-$234,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.