ML Engineer Jobs in Cupertino, CA
ML Engineer jobs in Cupertino concentrate in the Main Street corridor, the Vallco area, and the broader North De Anza Boulevard tech cluster, with demand driven by consumer electronics, enterprise AI, and cloud infrastructure. Employers actively hiring include Apple, Amazon Web Services, and HiringCafe, with openings in computer vision, NLP, and on-device model optimization. See the openings below and apply to the ones that match your experience.
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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.
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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.
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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."
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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 1,027+ ML Engineer Jobs in Cupertino
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Find ML Engineer JobsML Engineer Job Market in Cupertino
Who's Hiring
- Apple842

- Amazon Web Services163

- HiringCafe15
- Wipro7

Top Industries Hiring
- Electronics & Hardware369
- Distribution & Wholesale59
- Banking & Financial Services52
- Technology & Software15
- Construction & Real Estate15
ML Engineer Jobs in Cupertino: Frequently Asked Questions
How do I get a ml engineer job in Cupertino?
The strongest path into Cupertino's ml engineer market runs through its dominant consumer electronics and silicon design ecosystem, where teams build on-device models, inference optimization, and hardware-aware ML pipelines. Candidates with hands-on experience in PyTorch, Core ML, or TensorFlow Lite stand out most. Targeting mid-size AI product companies along De Anza Boulevard alongside the large consumer tech anchors gives you the widest realistic entry surface in this specific market.
Which companies hire ml engineers in Cupertino?
Cupertino ml engineer roles are posted by Apple, Amazon Web Services, and HiringCafe and others right now, based on current listings on Migrate Mate as of September 2026. The local employer mix skews heavily toward consumer hardware companies, enterprise software divisions, and AI infrastructure teams, many of whom maintain research and applied ML functions in the same Cupertino offices.
Are there remote ml engineer jobs in Cupertino?
Yes, though ml engineer roles tied to Cupertino's hardware and on-device AI work tend to require more in-person collaboration than purely analytical or backend ML positions. About 14% of ml engineer openings tied to Cupertino are remote or hybrid as of September 2026, with remote options concentrated in research, data pipeline, and MLOps roles rather than hardware integration or prototype work.
How can I get a ml engineer job in Cupertino with little or no experience?
The most realistic entry point in Cupertino is targeting ml infrastructure or data engineering roles at mid-size AI product companies, which hire associate-level candidates more consistently than the large consumer tech anchors. Contributing to open-source projects in model compression or edge inference is especially valued locally, given how much Cupertino hiring centers on on-device efficiency. Associate MLOps engineer and junior data scientist positions at Cupertino-based enterprise software teams are also strong lateral entry points.
Which industries hire the most ml engineers in Cupertino?
The sectors hiring the most ml engineers in Cupertino are Electronics & Hardware, Distribution & Wholesale, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Cupertino's concentration of consumer hardware and silicon design companies creates unusually high demand for applied ML talent focused on on-device inference, sensor fusion, and hardware-aware model optimization.
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