Machine Learning Intern Jobs in California
Machine Learning Intern jobs in California are concentrated in the San Francisco Bay Area, San Diego, and Los Angeles, where companies like Google, Meta, and Apple maintain large research and engineering operations that recruit interns year-round. The most in-demand specialties are natural language processing, computer vision, and reinforcement learning, reflecting the priorities of California's technology and autonomous systems industries. California is among the most active markets in the country for machine learning internships, with openings at every stage from undergraduate to doctoral candidates. Scan the live roles below and apply to whichever ones fit.
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The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices.
The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly balance research and product requirements to deliver pioneering, Apple-quality experiences. By innovating across the full stack and partnering closely with hardware, software, and AI teams, we shape future products and bring our architectural vision to life.
Description
As a member of the Video Computer Vision team, you will work across the stack to transform promising research projects into refined products that ship to our customers. You will build software infrastructure to deliver multimodal context to models and optimize the software harness and the model for efficient on-device deployment. Partnering closely with algorithm researchers, you will also participate in post-training model alignment and evaluation.","responsibilities":"Develop on-device software that bridges multimodal AI models and computer vision technologies with production systems deployed across Apple devices.
Optimize on-device inference latency, memory footprint, and computational efficiency of CV/ML models.
Benchmark, profile, and evaluate the power consumption and thermal performance of models running on Apple silicon.
Engage with cross-functional teams to understand and influence requirements, brainstorm the solution space, and propose, design and implement debuggable and maintainable Computer Vision systems meeting requirements.
Design experiments and evaluations to understand quality and on-device deployment tradeoffs, driving informed system design decisions.
Debug concurrent systems on embedded devices via a variety of existing tools and techniques; develop innovative debug tools and visualizations when existing ones don't fit the bill.
Preferred Qualifications
Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).
Minimum Qualifications
Bachelor’s degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience.
Strong ML fundamentals.
Proven track record of writing high-quality production code for shipped on-device CV/ML features deployed on embedded platforms
Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle (data preprocessing, training, evaluation, and edge deployment).
Experience with Supervised Fine-Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on-device downstream tasks.
Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices.
The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly balance research and product requirements to deliver pioneering, Apple-quality experiences. By innovating across the full stack and partnering closely with hardware, software, and AI teams, we shape future products and bring our architectural vision to life.
Description
As a member of the Video Computer Vision team, you will work across the stack to transform promising research projects into refined products that ship to our customers. You will build software infrastructure to deliver multimodal context to models and optimize the software harness and the model for efficient on-device deployment. Partnering closely with algorithm researchers, you will also participate in post-training model alignment and evaluation.","responsibilities":"Develop on-device software that bridges multimodal AI models and computer vision technologies with production systems deployed across Apple devices.
Optimize on-device inference latency, memory footprint, and computational efficiency of CV/ML models.
Benchmark, profile, and evaluate the power consumption and thermal performance of models running on Apple silicon.
Engage with cross-functional teams to understand and influence requirements, brainstorm the solution space, and propose, design and implement debuggable and maintainable Computer Vision systems meeting requirements.
Design experiments and evaluations to understand quality and on-device deployment tradeoffs, driving informed system design decisions.
Debug concurrent systems on embedded devices via a variety of existing tools and techniques; develop innovative debug tools and visualizations when existing ones don't fit the bill.
Preferred Qualifications
Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).
Minimum Qualifications
Bachelor’s degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience.
Strong ML fundamentals.
Proven track record of writing high-quality production code for shipped on-device CV/ML features deployed on embedded platforms
Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle (data preprocessing, training, evaluation, and edge deployment).
Experience with Supervised Fine-Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on-device downstream tasks.
Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See All 708+ Machine Learning Intern Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in California
Where California roles are concentrated, by current openings.
Machine Learning Intern Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- TikTok103
- Meta24
- Uber24
- ByteDance21
- ServiceNow21
Top Industries Hiring
- Technology & Software116
- Electronics & Hardware16
- Artificial Intelligence14
- Biotechnology & Pharmaceuticals12
- Science & Research10
What California Employers Look For
The qualifications that appear most often in machine learning intern jobs across California.
- Currently enrolled in a bachelor's or master's program in computer science, statistics, or related field
- Proficiency in Python and core machine learning libraries such as PyTorch or TensorFlow
- Foundational knowledge of supervised and unsupervised learning algorithms and model evaluation
- Experience with data wrangling, feature engineering, and working with large structured datasets
- Familiarity with version control using Git and collaborative development workflows
- Strong written and verbal communication skills for presenting findings to technical and non-technical audiences
Machine Learning Intern Jobs in California: Frequently Asked Questions
How do you become a machine learning intern in California?
Becoming a machine learning intern in California does not require a state-issued license or certification. Most openings expect active enrollment in a computer science, data science, statistics, or electrical engineering program at an accredited California university such as UC Berkeley, UCLA, UC San Diego, Stanford, or Caltech. Practical experience through coursework projects, Kaggle competitions, or published GitHub repositories strengthens applications considerably, and California employers frequently recruit directly from university career fairs and research labs.
Which companies hire machine learning interns in California?
California machine learning intern roles are posted by TikTok, Meta, and Uber and others right now, based on current listings on Migrate Mate as of November 2026. California's concentration of technology headquarters, autonomous vehicle companies, and biotech firms means intern programs here tend to involve production-scale data and close collaboration with full-time research scientists.
Which California cities have the most machine learning intern jobs?
San Francisco, San Jose, and Sunnyvale have the most machine learning intern openings in California. The Bay Area leads because of the density of major technology headquarters and AI-focused startups clustered in San Francisco, Mountain View, Palo Alto, and Sunnyvale, while Los Angeles draws openings from entertainment technology, defense, and autonomous systems firms, and San Diego benefits from its biotech corridor and defense research institutions.
Are there remote machine learning intern jobs in California?
Yes, and more than most fields. About 51% of machine learning intern openings tied to California are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of most machine learning work. The tasks most commonly offered fully remotely include data preprocessing, model experimentation, and literature review, while roles involving on-site GPU clusters, proprietary hardware, or embedded systems typically require in-person presence.
How can I get hired as a machine learning intern in California with little or no experience?
The most realistic entry path is applying to structured university intern programs at large California technology companies, which are designed for candidates still building their portfolios. Google, Apple, and Meta each run formal internship pipelines that accept applicants with limited professional experience if their coursework and projects demonstrate foundational skills. Building a public GitHub repository with end-to-end machine learning projects, contributing to open-source California university research labs, or completing a verified certificate in deep learning or data science can substitute for prior job experience in many applications.
Where can I find and apply to machine learning intern jobs in California?
You can find and apply to machine learning intern jobs in California on Migrate Mate, which lists current openings across the state. Search the available roles, identify the ones that match your background and availability, and apply directly to each position that fits.
See All 708+ Machine Learning Intern Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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