Machine Learning Manager Jobs at Google with Visa Sponsorship
Machine Learning Manager jobs at Google sit at the intersection of research leadership and product impact, overseeing teams building large-scale ML systems across Search, Ads, Cloud, and DeepMind. Google has a well-established infrastructure for sponsoring H-1B visa, H-1B1 visa, and E-3 visas for engineering and ML leadership roles.
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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 Machine Learning Manager Jobs at Google
Frame your ML leadership portfolio strategically
Google's hiring bar for ML Managers emphasizes both technical depth and cross-functional influence. Document shipped models, team growth, and measurable system improvements before applying. Interviewers probe whether you can lead research and drive production impact simultaneously.
Target teams with active LCA filings
Search DOL's OFLC disclosure data for Google LLC LCA filings under job titles like 'Machine Learning Manager' or 'Engineering Manager, ML.' This surfaces which Google product areas are actively hiring sponsored roles right now, not just historically.
Understand Google's internal transfer sponsorship rules
If you receive a return offer after an internship or contractor stint at Google, ask HR explicitly whether your offer package includes H-1B cap-exempt filing or a cap-subject petition. These pathways have different USCIS timelines and filing windows.
Align your visa category to your citizenship early
Australian citizens applying for ML Manager roles should flag E-3 eligibility to Google's immigration team before offer finalization. E-3 processing bypasses the H-1B lottery entirely, which shortens your timeline to U.S. start date by several months.
Use Migrate Mate to filter Google ML roles by sponsorship type
Search Migrate Mate to browse open Machine Learning Manager positions at Google filtered by the visa types they sponsor. This lets you target the specific team and role level where sponsorship is confirmed before you invest time in the interview process.
Prepare for USCIS specialty occupation scrutiny
ML Manager petitions can draw USCIS Requests for Evidence if the role description blurs managerial and individual-contributor duties. Work with Google's immigration counsel to ensure the job description clearly ties a specific bachelor's degree field to the core management function.
Frequently Asked Questions
Does Google sponsor H-1B visas for Machine Learning Managers?
Yes, Google sponsors H-1B visas for Machine Learning Manager roles. Google is a registered H-1B employer and files petitions for engineering leadership positions including ML management. Because the H-1B is subject to an annual cap and lottery, timing your application cycle matters. Google's immigration team coordinates filing windows with USCIS's April 1 start date, so your offer timeline will be built around that calendar.
Which visa types does Google commonly use for Machine Learning Manager roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Machine Learning Manager positions. H-1B is the most widely used pathway. H-1B1 is available to Chilean and Singaporean nationals without lottery exposure. E-3 applies exclusively to Australian citizens and also bypasses the H-1B lottery, making it a faster path to a U.S. start date for eligible candidates.
What qualifications does Google expect for a Machine Learning Manager role?
Google typically requires a bachelor's degree or higher in Computer Science, Machine Learning, or a closely related field, alongside hands-on experience leading ML teams that have shipped production systems at scale. Interviewers assess both technical depth, specifically model architecture and infrastructure decisions, and leadership scope. Candidates without a directly relevant degree can sometimes substitute equivalent experience, but this requires stronger documentation for the H-1B specialty occupation standard.
How do I apply for Machine Learning Manager jobs at Google?
Applications go through Google's careers portal at careers.google.com, but surfacing the right open roles by team and sponsorship type takes extra research. Migrate Mate lets you browse confirmed Machine Learning Manager openings at Google filtered by visa sponsorship category, so you can identify which specific teams are hiring sponsored candidates before you apply. Once you apply, Google's process typically includes recruiter screen, technical phone interviews, and an onsite or virtual loop.
How do I plan my timeline when pursuing an H-1B sponsored role at Google?
H-1B cap-subject petitions must be filed during the USCIS registration window each March, with employment starting no earlier than October 1. If you're on F-1 OPT, your start date can precede October 1 under your existing work authorization, but Google will still file the H-1B petition to cover you once OPT expires. Factor in at least six months from offer acceptance to confirmed H-1B status, and confirm with Google's immigration team whether premium processing is available for your petition.