Machine Learning Manager Jobs in Mountain View, CA
Machine Learning Manager jobs in Mountain View are concentrated in the North Bayshore corridor, Castro Street district, and the Middlefield Road tech cluster, with strong demand from the AI, cloud infrastructure, and consumer technology sectors. Employers actively hiring include ServiceNow, Google, and Unity Technologies. See the openings below and apply to the ones that match your experience.
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Showing 5 of 830+ Machine Learning Manager jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software design and architecture.
- Experience with C, C++, machine learning, and embedded systems.
- Experience with machine learning algorithms.
- Experience with machine learning architecture.
- Experience with machine learning research.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience taking machine learning models from research prototype to production on mobile or embedded devices, and owning them after launch.
- Experience optimizing models for on-device accelerators through quantization, hardware-aware architecture design, or custom kernels.
- Experience building and training models in JAX/TensorFlow.
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.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and implement the real-time on-device machine learning foundation that turns raw camera and sensor input into structured signals driving immediate application behavior.
- Drive the optimization of outlook models for NPU, GPU, and DSP execution, including quantization, hardware-aware architecture design, and custom kernel development, in partnership with the Tensor silicon and compiler teams.
- Own models end-to-end, from prototype through deployment on hundreds of millions of devices — training pipelines in JAX and TensorFlow, C++ integration into the camera pipeline, and long-term maintainability.
- Partner with product, UX, software, and hardware teams to define the requirements for next-generation interactive features, and translate roadmap goals into designs achievable within device constraints.
- Establish best practices for machine learning development, deployment, and evaluation. Define how model quality is measured; and contribute to the long-term technology roadmap.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software design and architecture.
- Experience with C, C++, machine learning, and embedded systems.
- Experience with machine learning algorithms.
- Experience with machine learning architecture.
- Experience with machine learning research.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience taking machine learning models from research prototype to production on mobile or embedded devices, and owning them after launch.
- Experience optimizing models for on-device accelerators through quantization, hardware-aware architecture design, or custom kernels.
- Experience building and training models in JAX/TensorFlow.
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.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and implement the real-time on-device machine learning foundation that turns raw camera and sensor input into structured signals driving immediate application behavior.
- Drive the optimization of outlook models for NPU, GPU, and DSP execution, including quantization, hardware-aware architecture design, and custom kernel development, in partnership with the Tensor silicon and compiler teams.
- Own models end-to-end, from prototype through deployment on hundreds of millions of devices — training pipelines in JAX and TensorFlow, C++ integration into the camera pipeline, and long-term maintainability.
- Partner with product, UX, software, and hardware teams to define the requirements for next-generation interactive features, and translate roadmap goals into designs achievable within device constraints.
- Establish best practices for machine learning development, deployment, and evaluation. Define how model quality is measured; and contribute to the long-term technology roadmap.
See All 830+ Machine Learning Manager Jobs in Mountain View
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Find Machine Learning Manager JobsMachine Learning Manager Job Market in Mountain View
Who's Hiring
- ServiceNow169
- Google117
- Unity Technologies78
- Nuro52
- Coupang52
Top Industries Hiring
- Technology & Software91
- Electronics & Hardware52
- Automotive39
- Banking & Financial Services39
- Artificial Intelligence26
Machine Learning Manager Jobs in Mountain View: Frequently Asked Questions
How do I get a machine learning manager job in Mountain View?
The strongest path into a machine learning manager role in Mountain View runs through the city's dense concentration of AI-first companies and large tech campuses along North Bayshore and Middlefield Road. Candidates who stand out typically combine hands-on ML engineering experience with demonstrated team leadership, ideally on deployed production systems. Familiarity with the infrastructure and scale challenges common at Mountain View's cloud and consumer-tech employers gives applicants a clear edge over generalist candidates.
Which companies hire machine learning managers in Mountain View?
Mountain View machine learning manager roles are posted by ServiceNow, Google, and Unity Technologies and others right now, based on current listings on Migrate Mate as of September 2026. The local employer base skews heavily toward established technology companies with large-scale AI and data platform teams, alongside a growing number of well-funded AI startups that have chosen Mountain View for its proximity to research talent.
Are there remote machine learning manager jobs in Mountain View?
Yes, though remote availability varies since machine learning manager roles often involve close collaboration with engineering teams and hands-on model review that benefits from in-person presence. About 47% of machine learning manager openings tied to Mountain View are remote or hybrid as of September 2026, with the most flexibility typically found in strategy and research-oriented roles rather than those directly embedded in product engineering pods.
How can I get a machine learning manager job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is moving up from a senior ML engineer role within one of the city's large tech employers, where internal promotions into team lead and manager positions are common. Smaller AI startups along Stierlin Court and the North Bayshore area also tend to create first-time manager opportunities faster than enterprise organizations. Building a visible record of mentoring engineers, driving cross-functional ML projects, and contributing to open-source model work strengthens a transition into management at Mountain View employers.
Which industries hire the most machine learning managers in Mountain View?
Most machine learning manager openings in Mountain View sit in Technology & Software, Electronics & Hardware, and Automotive, per current listings on Migrate Mate as of September 2026. Mountain View's identity as a headquarters city for major internet and cloud platforms means those sectors consistently generate the highest volume of ML leadership roles, with demand reinforced by the city's proximity to Stanford research pipelines and a deep local pool of specialized engineering talent.
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