GlossGenius is looking for a Machine Learning Engineer to work on a project critical to Google's needs, delivering better hardware and higher velocity to its semiconductor teams. You will design and implement solutions in specialized machine learning areas, leveraging ML infrastructure and Google's internal tools.
What You'll Do
- Triage product or system issues and debug, track, and resolve them by analyzing sources of issues and their impact on operations.
- Design and implement solutions in one or more specialized machine learning areas, leveraging ML infrastructure and demonstrating deep expertise.
- Deliver better hardware and higher velocity for hardware development to Google semiconductor teams.
- Produce improvements to the Accelerated Language for synthesis compiler.
- Work within Google infrastructure to use AI and ML to better search the space of potential hardware.
What We're Looking For
- Bachelor’s degree or equivalent practical experience.
- 5+ years of experience with software development in C++.
- 3+ years of experience testing, maintaining, or launching software products, and 1+ year of experience with software design and architecture.
- 3+ years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging).
- Experience in compiler construction.
Nice to Have
- Master's degree or PhD in Computer Science or a related technical field.
- 5+ years of experience with data structures and algorithms.
- 1+ year of experience in a technical leadership role.
- Experience with SystemVerilog.
Technical Stack
- C++
- SystemVerilog
- ML infrastructure (model deployment, evaluation, optimization, data processing, debugging)
- Compiler construction
- Google infrastructure (Vizier, Flume)
Team & Environment
Part of the Core team which builds the technical foundation behind Google’s flagship products.
Benefits & Compensation
- Salary range: $174,000-$252,000 + equity
- Bonus
- Equity
- Comprehensive benefits
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
