Staff Software Engineer, ML Hardware, YouTube Discovery Job at Google in San Bru

Minimum qualifications:

1. Bachelor's degree or equivalent practical experience.
2. 8 years of experience in software development, and with data structures/algorithms.
3. 5 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, debugging).
4. 3 years of experience in developing large-scale ML models (recommender systems, LLMs, computer vision, etc) utilizing ML hardware accelerators.
5. 2 years of experience in a technical leadership role.
6. Experience with post-training quantization, quantized aware training, or quantized training for ML models.

Preferred qualifications:

1. Experience with building efficient and reusable AI infrastructure, compilers, or performance engineering.
2. Experience with optimizing ML models to efficiently run on ML hardware accelerators.
3. Excellent communication skills, with the ability to convey complex technical concepts clearly and concisely.

In this role, you will be responsible for ensuring YouTube's business-critical recommender models best utilize the available ML hardware. To do this, you will be responsible for managing YouTube's participation in hardware development and evaluation programs. Additionally, you will initiate and drive efforts to adapt YouTube's models to take advantage of new accelerator capabilities, for example by adopting quantized training and inference.

Responsibilities:

1. Develop YouTube Discovery's ML hardware adoption strategy.
2. Initiate and lead engineering efforts to adapt YouTube's recommender models to perform efficiently on future generations of ML hardware.
3. Lead YouTube's evaluation of new ML hardware, in collaboration with model developers and Google-wide ML hardware and software experts.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/).

Google is proud to be an equal opportunity workplace and is 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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