Machine Learning Engineer Jobs in Santa Clara, CA
Machine Learning Engineer jobs in Santa Clara are concentrated in the Central Expressway corridor, the Lawrence Expressway tech cluster, and the Santa Clara Square area, with demand driven by semiconductor, cloud infrastructure, and enterprise AI companies. Employers hiring right now include Apple, NVIDIA, and PlusAI. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 1,026+ Machine Learning Engineer jobs
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 1,026+ Machine Learning Engineer Jobs in Santa Clara
Find roles in Santa Clara that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Job Market in Santa Clara
Who's Hiring
- Apple397
- NVIDIA132
- PlusAI132
- ServiceNow99
- Qualcomm50
Top Industries Hiring
- Electronics & Hardware199
- Technology & Software83
- Banking & Financial Services50
- Automotive33
- Manufacturing33
Machine Learning Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a machine learning engineer job in Santa Clara?
Focus your search on Santa Clara's semiconductor and cloud infrastructure employers, which are among the city's largest hirers of machine learning engineers. Companies concentrated in the Central Expressway corridor and near Great America Parkway tend to hire for applied ML roles in chip design, autonomous systems, and enterprise software. A strong portfolio of production-deployed models and experience with hardware-aware optimization gives candidates a measurable edge in this market.
Which companies hire machine learning engineers in Santa Clara?
Employers hiring machine learning engineers in Santa Clara right now include Apple, NVIDIA, and PlusAI, based on current listings on Migrate Mate as of September 2026. Santa Clara's employer base skews heavily toward semiconductor manufacturers, cloud platform providers, and enterprise software companies, many of which maintain large in-house ML research and engineering teams.
Are there remote machine learning engineer jobs in Santa Clara?
Yes, though availability varies by specialization. About 54% of machine learning engineer openings tied to Santa Clara are remote or hybrid as of September 2026, with remote arrangements more common for modeling and data pipeline roles than for hardware-adjacent or lab-based positions. Research and inference engineering roles tied to Santa Clara's cloud and enterprise software employers tend to offer the most remote flexibility.
How can I get a machine learning engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through associate ML engineer or data scientist roles at mid-size enterprise software and cloud infrastructure companies, which tend to hire entry-level candidates more readily than large semiconductor firms. Contributing to open-source ML frameworks, completing applied projects on real datasets, and targeting Santa Clara employers with established rotational or new-grad programs gives early-career candidates a concrete way in.
Which industries hire the most machine learning engineers in Santa Clara?
The sectors hiring the most machine learning engineers in Santa Clara are Electronics & Hardware, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Santa Clara's position as the headquarters city for major semiconductor and cloud infrastructure companies means local ML hiring is closely tied to chip development cycles, AI platform buildouts, and enterprise automation initiatives.
Related Jobs in California
See All 1,026+ Machine Learning Engineer Jobs in Santa Clara
Find roles in Santa Clara that match your experience and apply in just a few clicks.
Find Jobs