Machine Learning Manager Jobs in Santa Clara, CA
Machine Learning Manager jobs in Santa Clara are in strong demand, concentrated in the Central Expressway corridor, the semiconductor and enterprise tech clusters near Great America Parkway, and the riverfront business parks off Tasman Drive, across AI infrastructure, semiconductor, and cloud platform sectors. Employers hiring right now include Apple, PlusAI, and NVIDIA. Scan the live roles below and apply to whichever ones fit.
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
As a Machine Learning Engineer on the Digital Experience Insights team, you'll help take machine learning models from prototype to production, building the pipelines, infrastructure, and engineering practices that let models run reliably at scale. You'll also build and validate models yourself when needed, but the core of the role is making sure good models actually make it into production and stay healthy once they're there. This role sits within a fast-moving analytics organization where the specific projects shift over time, so we're looking for someone who can adapt their approach to whatever problem is in front of them.
WHAT YOU'LL DO
- Productionization: Take models from prototype to production, building reliable, scalable pipelines for training, serving, and inference.
- Data & ML Infrastructure: Design and maintain data pipelines, feature stores, and workflow orchestration so models have clean, timely, well-tested inputs.
- Monitoring & Reliability: Build monitoring for model performance, data drift, and pipeline health, and respond when something breaks.
- Model Development: Build and validate machine learning models and statistical approaches when needed, working closely with the broader data science team on model design.
- Cross-Functional Collaboration: Work with Data Scientists, Data Engineers, and Software Engineers to turn open-ended business questions into a clear technical plan and a working production system.
- We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field, or equivalent practical experience.
- 3-5 years of industry experience in data engineering, ML engineering, or a hybrid data science/engineering role, with a track record of shipping models to production.
- Strong software engineering fundamentals in Python and SQL, including writing production-quality, well-tested code.
- Hands-on experience with a workflow orchestration tool, such as Airflow or Dagster.
- Experience working in a cloud-native environment (AWS, GCP, or Azure).Working knowledge of machine learning and statistical modeling, with familiarity with a library such as Scikit-Learn or PyTorch, and enough grounding to build or extend a model when needed.
- Good communication skills, with the ability to explain technical work clearly to non-technical stakeholders.
- Comfort working through ambiguity and shifting priorities, and a collaborative approach to working across teams.
#LI-ONSITE
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you're invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
As a Machine Learning Engineer on the Digital Experience Insights team, you'll help take machine learning models from prototype to production, building the pipelines, infrastructure, and engineering practices that let models run reliably at scale. You'll also build and validate models yourself when needed, but the core of the role is making sure good models actually make it into production and stay healthy once they're there. This role sits within a fast-moving analytics organization where the specific projects shift over time, so we're looking for someone who can adapt their approach to whatever problem is in front of them.
WHAT YOU'LL DO
- Productionization: Take models from prototype to production, building reliable, scalable pipelines for training, serving, and inference.
- Data & ML Infrastructure: Design and maintain data pipelines, feature stores, and workflow orchestration so models have clean, timely, well-tested inputs.
- Monitoring & Reliability: Build monitoring for model performance, data drift, and pipeline health, and respond when something breaks.
- Model Development: Build and validate machine learning models and statistical approaches when needed, working closely with the broader data science team on model design.
- Cross-Functional Collaboration: Work with Data Scientists, Data Engineers, and Software Engineers to turn open-ended business questions into a clear technical plan and a working production system.
- We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field, or equivalent practical experience.
- 3-5 years of industry experience in data engineering, ML engineering, or a hybrid data science/engineering role, with a track record of shipping models to production.
- Strong software engineering fundamentals in Python and SQL, including writing production-quality, well-tested code.
- Hands-on experience with a workflow orchestration tool, such as Airflow or Dagster.
- Experience working in a cloud-native environment (AWS, GCP, or Azure).Working knowledge of machine learning and statistical modeling, with familiarity with a library such as Scikit-Learn or PyTorch, and enough grounding to build or extend a model when needed.
- Good communication skills, with the ability to explain technical work clearly to non-technical stakeholders.
- Comfort working through ambiguity and shifting priorities, and a collaborative approach to working across teams.
#LI-ONSITE
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you're invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
See All 830+ Machine Learning Manager Jobs in Santa Clara
Find roles in Santa Clara that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Job Market in Santa Clara
Who's Hiring
- Apple332
- PlusAI100
- NVIDIA83
- ServiceNow83
- Qualcomm50
Top Industries Hiring
- Electronics & Hardware166
- Technology & Software83
- Banking & Financial Services50
- Automotive33
- Artificial Intelligence33
Machine Learning Manager Jobs in Santa Clara: Frequently Asked Questions
How do I get a machine learning manager job in Santa Clara?
The strongest hiring in Santa Clara comes from semiconductor companies, enterprise cloud platform firms, and AI infrastructure startups concentrated along the Central Expressway corridor and the Great America Parkway tech cluster. Candidates who can bridge applied ML research and production deployment get the most attention here. Experience leading cross-functional teams on large-scale model development, combined with a portfolio of shipped products, gives a meaningful edge in this market.
Which companies hire machine learning managers in Santa Clara?
Employers hiring machine learning managers in Santa Clara right now include Apple, PlusAI, and NVIDIA, based on current listings on Migrate Mate as of September 2026. Santa Clara's hiring base skews heavily toward established semiconductor and cloud infrastructure companies alongside well-funded AI-focused startups, giving candidates a mix of enterprise scale and early-stage scope.
Are there remote machine learning manager jobs in Santa Clara?
Yes, though it is more limited than purely analytical roles because machine learning managers in Santa Clara often oversee on-site compute infrastructure, lab environments, and in-person team collaboration with hardware engineers. About 48% of machine learning manager openings tied to Santa Clara are remote or hybrid as of September 2026, with hybrid arrangements most common. Strategic planning, stakeholder reporting, and cross-team coordination are the parts of the role most compatible with remote work locally.
How can I get a machine learning manager job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is moving from a senior ML engineer or applied research role into a team lead position at one of the city's mid-size AI infrastructure or semiconductor companies, where management layers are thinner and individual contributors take on oversight responsibilities earlier. Targeting companies in the Great America Parkway and Tasman Drive corridors that are scaling their ML teams gives you the best chance of a lateral move into a managing role before carrying a full management title.
Which industries hire the most machine learning managers in Santa Clara?
Santa Clara machine learning manager roles concentrate in Electronics & Hardware, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Santa Clara's position as a global center for semiconductor design and enterprise cloud infrastructure means these sectors generate sustained demand for managers who can connect model development to hardware optimization and large-scale deployment pipelines.
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