Machine Learning Engineer (Quantization)

Location San Francisco
Discipline: AI & Machine Learning Jobs
Job type: Permanent
Salary: Negotiable
Contact name: Taryn Manna

Contact email:
Job ref: BBBH12574_1676999558
Published: about 1 month ago

Machine Learning Engineer (Quantization)

We are seeking a Machine Learning Engineer (Quantization) to join a well-funded Princeton spinout whose goal is to bring their uniquely patented ML accelerator technology to the global market. As the ML Engineer (Quantization) you would have the opportunity to work alongside a team of industry veterans.

This startup has created state-of-the-art research, centered around different ways to perform neural network workloads faster than anything on the market. The technology spans the foundational physics of computation, circuits that break efficiency barriers, architectures that scale effortlessly with workloads, and software that integrates seamlessly and flexibly with applications at the forefront.

What we can offer a Machine Learning Engineer (Quantization)

  1. Flexible work environment (Hybrid Offices NY + SF) or 100% remote anywhere in USA, Canada, or Europe
  2. Competitive Base Salary + Strong Equity
  3. The ability for career growth and development

Key Skills: Machine Learning, Deep Learning, Quantization, Pruning, Sparsity, C++