Principal Machine Learning Engineer

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?

What You’ll Do

• Architect and develop secure, privacy-preserving, on-device solutions to enable the continuous improvement of existing AI models.
• Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
• Implement on-device monitoring solutions used for continuous model improvement.
• Implement innovative model compression solutions to enable AI at the edge.
• Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
• Experience with AI on chips, on-device model deployment and management.
• Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
• Advanced knowledge and hands-on experience with on-chips development.
• Excellent problem-solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations.
• Comfort communicating and interacting with scientists, engineers and product managers.

Preferred

• Master’s Degree or PhD in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
• Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices