What are the responsibilities and job description for the MACHINE LEARNING ENGINEER position at Escalon Services, LLC.?
Machine Learning Engineer
Department : Recruiting Done
Employment Type : Full Time
Location : San Francisco
Compensation : $140,000 - $160,000 / year
Description
Our client has built and published award-winning research on the frontier of AI. They have built and worked on deep learning, reinforcement learning, multi-agent systems, economics, robotics, automated experiment design, program synthesis, formal verification, and more. Their mission is to build intelligence to co-invent the future. They envision a future where people and powerful AI agents interact and collaborate in unseen ways to create and discover. To achieve this, they build AI that plans, abstracts, verifies, and discovers new skills and knowledge. They are backed by top-tier investors and partners including Eric Schmidt (former CEO of Google and former Executive Chairman of Alphabet), Caltech, Jeff Dean (Chief Scientist, Google DeepMind and Google Research), and JP Millon.
Key Responsibilities
- Be a key team member that will help set the course, take ownership, and execute rapidly.
- Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs.
- Build data processing pipelines
- Implement machine learning models
- Run machine learning workloads at scale using distributed computing
- Define and apply simple design principles that scale (Occam's Razor)
- Solve min-max problems : how can we do more with less?
- Accelerate our work by removing operational and tooling bottlenecks.
Skills, Knowledge and Expertise
Benefits
Salary : $140,000 - $160,000
