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Staff Machine Learning Engineer, Inference Team

Job

Google

Kirkland, WA (In Person)

$253,500 Salary, Full-Time

Posted 1 week ago (Updated 1 week ago) • Actively hiring

Expires 5/31/2026

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Job Description

Staff Machine Learning Engineer, Inference Team _corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA
  • Advanced
  • Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_ XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.
Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits:
    401(k) with company match
  • Paid Time Off:
    20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time:
    40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave:
    18 weeks
•
Holidays:
13 paid days per year
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
  • Sunnyvale, CA, USA; Kirkland, WA, USA
  • .
    • Minimum qualifications:
    • + Bachelor's degree or equivalent practical experience.
    + 8 years of experience in software development. + 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. + 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. + 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, performance evaluation, data processing, debugging, fine tuning).
    • Preferred qualifications:
    • + Master's degree or PhD in Engineering, Computer Science, or a related technical field. + 8 years of experience with data structures and algorithms. + 3 years of experience in a technical leadership role leading project teams and setting technical direction. + 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
    • About the job
    • Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
    Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Our mission is to provide the best possible cloud-based ML inference solutions to customers. We are committed to building and supporting products that allow customers to quickly decide to use, build, and support model serving solutions on Cloud with predictable performance. We also strive to understand the best ways to serve and optimize models on accelerators, and help our customers achieve their AI goals. In this role, you will be working on an emergent product with potential to change how customers use Google infrastructure for machine learning inference. It is dynamic and exciting environment that is open to change and is full of growth opportunities. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $207,000
    • 300,000 + bonus + equity + benefits.
    Our salary ranges are determined by role, level, and location. 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
    • Responsibilities
    • + Participate in feature investment and stable stack for serving solutions for inference on the latest Tensor Processing Unit (TPU) New Product Introduction (NPIs.
    ) + Develop techniques to improve long context support in inference serving stack. + Prepare and optimize very large reference models, demonstrating single-host and multi-host inference solutions, especially at large scale. + Collaborate with the ML research, ML performance, model optimization tooling, and other optimization teams. + Participate in ML performance inference submissions. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
    To all recruitment agencies:
    Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    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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