STEM OPT ML Software Engineer Jobs
ML Software Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months total on your F-1 authorization. Your employer must be enrolled in E-Verify to hire you on the 24-month extension. A degree in computer science, electrical engineering, or a related STEM field qualifies.
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Get Access To All JobsINTRODUCTION
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. 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.
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. 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 1,046+ STEM OPT ML Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT ML Software Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a ML Software Engineer
Verify your CIP code before applying
Your degree's Classification of Instructional Programs code must fall under an approved STEM field. Cross-check it against the DHS STEM Designated Degree Program List before you target roles, so you don't discover an eligibility gap after an offer.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the company is enrolled in E-Verify, not just whether they 'sponsor' OPT. An employer can sponsor your initial OPT but still be ineligible for the 24-month STEM extension if they haven't completed E-Verify enrollment.
Use Migrate Mate to target verified STEM OPT employers
Search ML Software Engineer roles on Migrate Mate, which surfaces employers with confirmed E-Verify enrollment. This cuts the time you'd spend manually vetting companies and lets you focus applications on roles you're actually authorized to take.
Prepare your I-983 training plan before day one
Your employer must sign a Form I-983 outlining your training goals, duties, and learning objectives before your STEM OPT extension begins. Draft the ML-specific learning milestones in advance so the hiring manager isn't surprised by the paperwork requirement.
Target research-intensive ML roles for stronger I-983 alignment
Roles involving model development, research engineering, or applied ML research map more cleanly to the I-983's requirement that training relate directly to your STEM degree. Purely ops-focused or data-labeling roles can draw DSO scrutiny during reporting cycles.
File the STEM OPT extension at least 90 days early
USCIS recommends filing your I-765 extension application 90 days before your current EAD expires. ML hiring cycles can run long, so coordinating your offer timeline with your filing window prevents gaps in authorization between positions.
Frequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an ML Software Engineer?
Your degree qualifies if it appears on the DHS STEM Designated Degree Program List, which covers fields like computer science, electrical engineering, mathematics, and statistics. Most ML Software Engineer roles require exactly these backgrounds. Confirm your specific Classification of Instructional Programs code with your DSO before filing, since the CIP code on your transcript determines eligibility, not just the degree name.
Does every employer hiring ML Software Engineers on STEM OPT need to be in E-Verify?
Yes, E-Verify enrollment is a hard requirement for the 24-month STEM OPT extension, not optional. Your employer must be enrolled before your extension is approved, and they must remain enrolled throughout your authorization period. If a company withdraws from E-Verify while you're employed, your STEM OPT authorization is at risk. Always verify enrollment status before accepting an offer. You can find ML Software Engineer roles from confirmed E-Verify employers on Migrate Mate.
What goes into the I-983 training plan for an ML Software Engineer role?
The I-983 requires your employer to describe the specific training you'll receive, how your duties relate to your STEM degree, and measurable learning objectives. For ML Software Engineer positions, this typically covers model architecture development, applied research methods, or ML systems engineering tied to your coursework. Both you and a company supervisor must sign it, and your DSO must receive it before your extension period begins.
Can I change ML Software Engineer jobs while on the STEM OPT extension?
Yes, you can change employers, but the new employer must also be enrolled in E-Verify, and you must report the change to your DSO within 10 days. A new I-983 training plan must be completed with the new employer before you start. Your existing EAD remains valid, but working for a non-E-Verify employer, even briefly, violates your status. Plan job transitions carefully around your authorization end date.
How does cap-gap protection work if I'm an ML Software Engineer with a pending H-1B?
If your employer files an H-1B visa petition on your behalf before your OPT or STEM OPT expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. This means you can continue working in your ML Software Engineer role without interruption while the H-1B is pending. USCIS governs cap-gap rules, and your DSO can issue an updated I-20 reflecting the extension.