Senior ML Engineer Jobs at Google with Visa Sponsorship
Senior ML Engineer jobs at Google sit at the intersection of large-scale infrastructure and applied research, covering production model deployment, ML platform engineering, and deep learning systems. Google has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, H-1B1 visa, and E-3 visa pathways.
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Get Access To All JobsABOUT 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. EdgeTPU is a family of embedded machine learning (ML) accelerators that aim toward a broad set of applications. The compiler team is responsible for analysis, optimization, and compilation of ML models focusing EdgeTPU. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
ROLE AND RESPONSIBILITIES
Work as part of the EdgeTPU compiler team, building ML compilers for EdgeTPU hardware and analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time.
Work with and extend ML authoring frameworks, including JAX, Pytorch to compile ML models for the EdgeTPU.
Work with ML runtime systems to deploy optimized ML models on the EdgeTPU.
Work with EdgeTPU architects to design the Hardware/Software (HW/SW) interface, and co-optimizations between CPU, GPU, and TPU.
* Collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to user experiences running on the EdgeTPU.
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 Machine Learning compilers (optimization, parallelization, etc.).
* 5 years of experience with relevant ML design and ML infrastructure (e.g., model deployment, model evaluation, etc.).
PREFERRED QUALIFICATIONS
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience in optimizing ML models for inference.
Experience compiling for heterogeneous architectures across IPs, including CPU, GPU, and NPUs.
Experience with hardware-software co-design.
Experience in MLIR or Low Level Virtual Machine (LLVM).
Experience in compiler development, particularly in the context of accelerator-based architectures, vector instruction optimizations, or vectorizing compilers.
COMPENSATION
- Salary Range: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
BENEFITS
In 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 (statutory, where applicable); 5 days/event (discretionary)
- 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: Mountain View, CA, USA; Kirkland, WA, USA.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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. EdgeTPU is a family of embedded machine learning (ML) accelerators that aim toward a broad set of applications. The compiler team is responsible for analysis, optimization, and compilation of ML models focusing EdgeTPU. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
ROLE AND RESPONSIBILITIES
Work as part of the EdgeTPU compiler team, building ML compilers for EdgeTPU hardware and analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time.
Work with and extend ML authoring frameworks, including JAX, Pytorch to compile ML models for the EdgeTPU.
Work with ML runtime systems to deploy optimized ML models on the EdgeTPU.
Work with EdgeTPU architects to design the Hardware/Software (HW/SW) interface, and co-optimizations between CPU, GPU, and TPU.
* Collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to user experiences running on the EdgeTPU.
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 Machine Learning compilers (optimization, parallelization, etc.).
* 5 years of experience with relevant ML design and ML infrastructure (e.g., model deployment, model evaluation, etc.).
PREFERRED QUALIFICATIONS
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience in optimizing ML models for inference.
Experience compiling for heterogeneous architectures across IPs, including CPU, GPU, and NPUs.
Experience with hardware-software co-design.
Experience in MLIR or Low Level Virtual Machine (LLVM).
Experience in compiler development, particularly in the context of accelerator-based architectures, vector instruction optimizations, or vectorizing compilers.
COMPENSATION
- Salary Range: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
BENEFITS
In 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 (statutory, where applicable); 5 days/event (discretionary)
- 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: Mountain View, CA, USA; Kirkland, WA, USA.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Get Access To All JobsTips for Finding Senior ML Engineer Jobs at Google
Tailor your resume to Google's ML stack
Google's Senior ML Engineer interviews heavily test systems design at scale. Frame your experience around distributed training, model serving infrastructure, or ML pipeline tooling rather than generic data science projects. Reviewers are looking for production credibility, not research summaries.
Distinguish yourself in the system design round
Google's technical loop for ML roles includes a dedicated ML systems design interview. Prepare to architect feature stores, training pipelines, and inference systems under latency and throughput constraints. This round often determines leveling, which directly shapes your visa petition's wage tier.
Clarify sponsorship eligibility before your recruiter screen
Australian citizens should ask recruiters about E-3 availability early. E-3 petitions aren't subject to the H-1B lottery, so if you qualify, your start date can be weeks away rather than tied to an October 1 cap date.
Understand how Google's offer timeline affects H-1B filing
If you're targeting an H-1B, Google typically files in April for an October 1 start. USCIS requires a petitioner-employer relationship before submission, so your offer must be in place before the registration window opens in mid-March.
Search verified sponsorship data before applying
Use Migrate Mate to filter Senior ML Engineer openings at Google by visa type. This helps you confirm active sponsorship for your specific category and focus your applications on roles aligned with your current status.
Request premium processing if your status is time-sensitive
If you're in a 60-day grace period or approaching an OPT expiration, ask Google's immigration team whether they'll file with USCIS premium processing. Adjudication under that track runs within 15 business days, which can be critical for bridging status gaps.
Frequently Asked Questions
Does Google sponsor H-1B visas for Senior ML Engineers?
Yes, Google sponsors H-1B visas for Senior ML Engineers. The process follows the standard USCIS cap-subject lottery, with registration in mid-March and an October 1 start date if selected. Google has dedicated immigration counsel and coordinates the petition process internally, so you won't need to manage USCIS filings independently once you have an offer.
Which visa types does Google commonly use for Senior ML Engineer roles?
Google sponsors H-1B visas for the broadest pool of international candidates, H-1B1 visas for Chilean and Singaporean nationals, and E-3 visas for Australian citizens. Each carries different timelines and lottery exposure. H-1B1 and E-3 are not subject to the annual cap, which makes them significantly faster options if you qualify by nationality.
What qualifications does Google expect for Senior ML Engineer roles?
Google's Senior ML Engineer bar typically requires a bachelor's degree or higher in computer science, machine learning, or a related engineering field, plus demonstrated experience building and deploying ML systems at scale. Practical depth in areas like model optimization, distributed training, or ML infrastructure carries more weight than academic credentials alone. Prior experience with large-scale production environments is a strong differentiator.
How do I apply for Senior ML Engineer jobs at Google?
You can browse open Senior ML Engineer roles at Google through Migrate Mate, which filters listings by visa sponsorship type so you can confirm your visa category is supported before applying. Once you identify a role, applications go through Google's careers portal. Recruiters typically conduct an initial screen within two to three weeks, followed by a structured technical loop.
How do I plan my timeline around Google's visa sponsorship process?
Timeline planning depends on which visa you need. For H-1B, count backward from October 1 and ensure your offer is in place before the March registration window. For E-3 or H-1B1 visa, consular appointments at a U.S. embassy are often bookable within a few weeks. If you're on OPT, confirm whether your start date requires cap-gap protection or a STEM OPT extension before accepting an offer.