Machine Learning Jobs in Cupertino, CA
Machine Learning jobs in Cupertino are in high demand, concentrated in the Main Street corridor, Vallco District, and the tech campuses along De Anza Boulevard, across consumer technology, cloud infrastructure, and silicon design. Employers hiring right now include Apple, Amazon Web Services, and HiringCafe. Find a role that fits below and apply directly.
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Role Purpose
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
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Areas of responsibility
Gathering of requirements-Participate in gathering requirements for specific modules and ensure clear, structured documentation. Work across multiple business processes to capture linkages, dependencies, and required changes.
͏
Solution Design-Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager, ensuring alignment with business requirements and technical standards.
͏
Coding and Configuration-"Review the developed codes, resolve technical queries of the team for the assigned module and create consistent replication patterns, to ensure that the developed code aligns with the project standards.Collaborate with project managers through all phases of software development life cycle."
͏
Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces."
Implementation-"Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks."
- Design and build custom mechanical fixtures to apply controlled stress (e.g., cyclic loading, vibration, bend/flex, thermal, or compression) to products under test
- Integrate stress-test fixtures with CT scanner hardware — ensuring fixtures fit within scanner bore/stage constraints, are compatible with rotation stages, and don't introduce imaging artifacts (material selection, geometry, X-ray transparency)
- Develop Python software to control test fixtures, synchronize stress cycles with CT scan sequencing, and automate data logging for long-duration/unattended testing
- Apply AI/ML techniques to analyze CT imaging and reliability data — identifying failure onset, crack propagation, wear patterns, and predicting failure modes
- Collaborate closely with CT/imaging, product design, and failure analysis engineering teams to align test design with product risk areas
- Iterate quickly on fixture design based on test results and CT findings
- Document fixture designs, integration procedures, and test results for reproducibility and cross-team use
- Drive projects independently — identifying testing gaps, proposing solutions, and executing with minimal oversight
- Proven experience designing and building custom mechanical/electromechanical test fixtures, ideally for product stress, durability, or reliability testing
- Strong background in robotics and mechatronics : mechanical design, motion control, actuators, sensors, and system integration
- Experience or strong aptitude for integrating hardware fixtures into constrained systems (e.g., adapting designs to fit within existing equipment envelopes/interfaces)
- Proficiency in Python for fixture control, automation, and data analysis
- Practical experience applying AI/ML to engineering, imaging, or test data (anomaly detection, predictive modeling, classification, etc.)
- Self-driven with strong ownership mentality — comfortable defining and executing complex technical projects with ambiguous requirements
- Strong mechanical aptitude — able to work hands-on with hardware (assembly, wiring, troubleshooting, fit-checks)
- Excellent cross-functional communication and documentation skills
- Direct experience with CT (computed tomography) systems — understanding of scan geometry, stage/bore constraints, and material considerations (X-ray attenuation, artifact avoidance) for fixture design
- Background in failure analysis , particularly correlating mechanical stress testing with radiographic/CT imaging findings
- CAD proficiency (e.g., SolidWorks) for fixture design and CT-envelope fit-checks
- Experience in consumer electronics, semiconductor, or precision hardware product testing environments
- Bachelor’s or master’s degree in mechanical engineering, Robotics, Mechatronics, Electrical Engineering, or a related field (or equivalent practical experience)
Experience: 5-8 Years .
The expected compensation for this role ranges from $80,000 to $160,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Role Purpose
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
͏
Areas of responsibility
Gathering of requirements-Participate in gathering requirements for specific modules and ensure clear, structured documentation. Work across multiple business processes to capture linkages, dependencies, and required changes.
͏
Solution Design-Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager, ensuring alignment with business requirements and technical standards.
͏
Coding and Configuration-"Review the developed codes, resolve technical queries of the team for the assigned module and create consistent replication patterns, to ensure that the developed code aligns with the project standards.Collaborate with project managers through all phases of software development life cycle."
͏
Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces."
Implementation-"Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks."
- Design and build custom mechanical fixtures to apply controlled stress (e.g., cyclic loading, vibration, bend/flex, thermal, or compression) to products under test
- Integrate stress-test fixtures with CT scanner hardware — ensuring fixtures fit within scanner bore/stage constraints, are compatible with rotation stages, and don't introduce imaging artifacts (material selection, geometry, X-ray transparency)
- Develop Python software to control test fixtures, synchronize stress cycles with CT scan sequencing, and automate data logging for long-duration/unattended testing
- Apply AI/ML techniques to analyze CT imaging and reliability data — identifying failure onset, crack propagation, wear patterns, and predicting failure modes
- Collaborate closely with CT/imaging, product design, and failure analysis engineering teams to align test design with product risk areas
- Iterate quickly on fixture design based on test results and CT findings
- Document fixture designs, integration procedures, and test results for reproducibility and cross-team use
- Drive projects independently — identifying testing gaps, proposing solutions, and executing with minimal oversight
- Proven experience designing and building custom mechanical/electromechanical test fixtures, ideally for product stress, durability, or reliability testing
- Strong background in robotics and mechatronics : mechanical design, motion control, actuators, sensors, and system integration
- Experience or strong aptitude for integrating hardware fixtures into constrained systems (e.g., adapting designs to fit within existing equipment envelopes/interfaces)
- Proficiency in Python for fixture control, automation, and data analysis
- Practical experience applying AI/ML to engineering, imaging, or test data (anomaly detection, predictive modeling, classification, etc.)
- Self-driven with strong ownership mentality — comfortable defining and executing complex technical projects with ambiguous requirements
- Strong mechanical aptitude — able to work hands-on with hardware (assembly, wiring, troubleshooting, fit-checks)
- Excellent cross-functional communication and documentation skills
- Direct experience with CT (computed tomography) systems — understanding of scan geometry, stage/bore constraints, and material considerations (X-ray attenuation, artifact avoidance) for fixture design
- Background in failure analysis , particularly correlating mechanical stress testing with radiographic/CT imaging findings
- CAD proficiency (e.g., SolidWorks) for fixture design and CT-envelope fit-checks
- Experience in consumer electronics, semiconductor, or precision hardware product testing environments
- Bachelor’s or master’s degree in mechanical engineering, Robotics, Mechatronics, Electrical Engineering, or a related field (or equivalent practical experience)
Experience: 5-8 Years .
The expected compensation for this role ranges from $80,000 to $160,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
See All 1,114+ Machine Learning Jobs in Cupertino
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Find Machine Learning JobsMachine Learning Job Market in Cupertino
Who's Hiring
- Apple904
- Amazon Web Services188
- HiringCafe14
- Wipro7
Top Industries Hiring
- Electronics & Hardware376
- Distribution & Wholesale51
- Banking & Financial Services51
- Technology & Software14
- Construction & Real Estate14
Machine Learning Jobs in Cupertino: Frequently Asked Questions
How do I get a machine learning job in Cupertino?
The strongest path into Cupertino machine learning roles runs through the city's dominant consumer electronics and platform technology employers, which cluster along De Anza Boulevard and the North Vallco area. Candidates who demonstrate hands-on experience with large-scale model training, on-device inference, or recommendation systems stand out most here. Building a portfolio that reflects product-integrated ML work, rather than pure research, aligns well with what Cupertino hiring teams prioritize.
Which companies hire machine learnings in Cupertino?
Employers hiring machine learnings in Cupertino right now include Apple, Amazon Web Services, and HiringCafe, based on current listings on Migrate Mate as of September 2026. Cupertino's employer mix skews heavily toward large consumer technology companies and their satellite R&D offices, alongside a smaller set of semiconductor and chip-design firms that embed ML into hardware optimization work.
Are there remote machine learning jobs in Cupertino?
Yes, though availability depends on the role type: analytical and modeling work tends to be more remote-friendly, while roles tied to hardware integration or on-device testing typically require on-site presence. About 12% of machine learning openings tied to Cupertino are remote or hybrid as of September 2026, with hybrid arrangements most common at the large campus-based employers in the Vallco and De Anza corridors.
How can I get a machine learning job in Cupertino with little or no experience?
The most realistic entry point in Cupertino is targeting associate or junior ML engineer roles at mid-size technology companies and hardware startups in the city, which tend to have less competition than the flagship consumer tech employers. Roles in data labeling, ML platform support, or software engineering with ML tooling exposure serve as common stepping stones locally. A strong portfolio of personal or academic projects focused on applied ML, particularly on-device or efficiency-focused work, gives candidates a clear edge with Cupertino hiring teams.
Which industries hire the most machine learnings in Cupertino?
Cupertino machine learning roles concentrate in Electronics & Hardware, Distribution & Wholesale, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Cupertino's identity as a global consumer technology hub drives this concentration, with demand shaped by the need to embed ML directly into hardware products, operating systems, and large-scale consumer platforms.
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See All 1,114+ Machine Learning Jobs in Cupertino
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