ML Software Engineer Visa Sponsorship Jobs in California
California leads the country for ML software engineer visa sponsorship jobs, with major employers like Google, Meta, Apple, and dozens of AI-focused startups concentrated in the Bay Area, Los Angeles, and San Diego. The state's deep university pipeline from UC Berkeley, Stanford, and UCLA feeds consistent demand for international ML talent across research and production engineering roles.
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INTRODUCTION
Imagine being at the forefront of wireless innovation, where cutting-edge AI meets seamless connectivity. We're looking for an exceptional engineer who can harness the power of AI and machine learning to revolutionize how millions of people connect to the world around them. Join us in creating the next generation of intelligent Wi-Fi software for Apple products!
DESCRIPTION
In this role, you will architect and develop advanced Wi-Fi solutions enhanced by artificial intelligence and machine learning capabilities. You'll work on challenging problems from shipping software features to internal tools.
Collaborating with world-class hardware and software teams, you'll have the opportunity to see your innovations ship in products used by millions globally. Your work will span the full stack, from low-level Wi-Fi protocols to high-level ML models, requiring both deep technical expertise and creative problem-solving as you push the boundaries of what's possible in wireless connectivity.
Responsibilities
- Design and implement machine learning models that optimize Wi-Fi performance, predict network congestion, and enhance connection reliability
- Apply AI and machine learning technologies to internal development tools and workflows, creating intelligent systems that improve software quality, accelerate debugging, and enhance engineering productivity
- Collaborate with cross-functional teams to integrate AI-driven networking features into system architecture and hardware platforms
- Analyze large-scale network telemetry data to identify patterns, anomalies, and opportunities for ML-based improvements
- Optimize ML models for on-device inference, balancing accuracy with power consumption and computational constraints
- Drive innovation by researching emerging wireless technologies and AI techniques, prototyping novel solutions to complex connectivity challenges
- Partner with privacy and security teams to ensure all ML-enabled networking features meet the highest standards for user data protection
MINIMUM QUALIFICATIONS
- BS degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent field
- You have 4+ years of professional experience in Wi-Fi, wireless networking, or related networking technologies
- You have strong programming skills in C/C++ or Python
- You have demonstrated experience with machine learning frameworks and applying ML techniques to real-world problems
- You have a deep understanding of networking protocols (TCP/IP, routing, etc.) and wireless standards (802.11a/b/g/n/ac/ax)
- You have excellent communication and collaboration skills with proven ability to work effectively across teams and clearly articulate technical concepts to diverse audiences
PREFERRED QUALIFICATIONS
- MS or PhD in Computer Science, Electrical Engineering, or related field with focus on networking or machine learning
- You have experience with on-device ML optimization and deployment on resource-constrained systems
- You have published research or patents in wireless networking or applied machine learning
- You have a demonstrated familiarity with network simulation tools and large-scale data analysis
- You have a strong track record of shipping production-quality networking or ML-enabled products
- You’re laser-focused on the smallest details that are meaningful to our customers
- You’re obsessively passionate and inquisitive, and seek to tackle everyday problems in innovative ways
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 $147,400 and $272,100, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

INTRODUCTION
Imagine being at the forefront of wireless innovation, where cutting-edge AI meets seamless connectivity. We're looking for an exceptional engineer who can harness the power of AI and machine learning to revolutionize how millions of people connect to the world around them. Join us in creating the next generation of intelligent Wi-Fi software for Apple products!
DESCRIPTION
In this role, you will architect and develop advanced Wi-Fi solutions enhanced by artificial intelligence and machine learning capabilities. You'll work on challenging problems from shipping software features to internal tools.
Collaborating with world-class hardware and software teams, you'll have the opportunity to see your innovations ship in products used by millions globally. Your work will span the full stack, from low-level Wi-Fi protocols to high-level ML models, requiring both deep technical expertise and creative problem-solving as you push the boundaries of what's possible in wireless connectivity.
Responsibilities
- Design and implement machine learning models that optimize Wi-Fi performance, predict network congestion, and enhance connection reliability
- Apply AI and machine learning technologies to internal development tools and workflows, creating intelligent systems that improve software quality, accelerate debugging, and enhance engineering productivity
- Collaborate with cross-functional teams to integrate AI-driven networking features into system architecture and hardware platforms
- Analyze large-scale network telemetry data to identify patterns, anomalies, and opportunities for ML-based improvements
- Optimize ML models for on-device inference, balancing accuracy with power consumption and computational constraints
- Drive innovation by researching emerging wireless technologies and AI techniques, prototyping novel solutions to complex connectivity challenges
- Partner with privacy and security teams to ensure all ML-enabled networking features meet the highest standards for user data protection
MINIMUM QUALIFICATIONS
- BS degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent field
- You have 4+ years of professional experience in Wi-Fi, wireless networking, or related networking technologies
- You have strong programming skills in C/C++ or Python
- You have demonstrated experience with machine learning frameworks and applying ML techniques to real-world problems
- You have a deep understanding of networking protocols (TCP/IP, routing, etc.) and wireless standards (802.11a/b/g/n/ac/ax)
- You have excellent communication and collaboration skills with proven ability to work effectively across teams and clearly articulate technical concepts to diverse audiences
PREFERRED QUALIFICATIONS
- MS or PhD in Computer Science, Electrical Engineering, or related field with focus on networking or machine learning
- You have experience with on-device ML optimization and deployment on resource-constrained systems
- You have published research or patents in wireless networking or applied machine learning
- You have a demonstrated familiarity with network simulation tools and large-scale data analysis
- You have a strong track record of shipping production-quality networking or ML-enabled products
- You’re laser-focused on the smallest details that are meaningful to our customers
- You’re obsessively passionate and inquisitive, and seek to tackle everyday problems in innovative ways
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 $147,400 and $272,100, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
ML Software Engineer Job Roles in California
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Search ML Software Engineer Jobs in CaliforniaML Software Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in California?
Large technology companies headquartered in California, including Google, Apple, Meta, and NVIDIA, are among the most active sponsors for ML software engineer roles. Beyond the major players, a significant number of AI-focused startups and mid-sized companies in the Bay Area and Los Angeles regularly file H-1B petitions for ML engineers. DOL disclosure data consistently shows California employers among the highest-volume H-1B filers for machine learning and AI-related job titles.
Which visa types are most common for ML software engineer roles in California?
The H-1B is the most common visa for ML software engineers in California, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a closely related field. Candidates with extraordinary recognition in ML research may pursue the O-1A. Those completing degrees at California universities may first work under OPT or STEM OPT, which provides up to three years of work authorization before transitioning to employer-sponsored status.
Which cities in California have the most ML software engineer sponsorship jobs?
The San Francisco Bay Area, encompassing San Francisco, San Jose, Mountain View, Palo Alto, and Sunnyvale, concentrates the largest share of ML software engineer sponsorship jobs in California. Los Angeles has grown significantly as a second hub, driven by entertainment technology, autonomous vehicle research, and a maturing startup ecosystem. San Diego also has a presence, particularly tied to biotech and defense-adjacent ML applications.
How to find ml software engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters ML software engineer roles in California by visa sponsorship availability, saving you from sorting through positions at companies unlikely to sponsor. Because California's ML hiring spans both large tech employers and early-stage startups, Migrate Mate helps you identify which companies have an active sponsorship track record rather than relying on job descriptions that rarely confirm sponsorship status upfront.
Are there any California-specific considerations for ML software engineers seeking visa sponsorship?
California's high prevailing wage determinations, set by the Department of Labor, reflect the state's elevated cost of living and competitive compensation norms, meaning employers must meet higher certified wage thresholds for ML engineering roles here than in most other states. California also has some of the country's strongest employee protection laws, which can affect how employment contracts and non-compete clauses are structured. The state's dense university pipeline from institutions like UC Berkeley, Stanford, and UCLA means international students on STEM OPT often transition directly into sponsored roles with California employers.
What is the prevailing wage for sponsored ml software engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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