STEM OPT Senior ML Engineer Jobs
Senior ML Engineer roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. With 36 months of total OPT work authorization, you have a realistic runway to build production ML experience and secure H-1B sponsorship.
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INTRODUCTION
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences to users around the globe. You’ll also contribute to forward-looking research in fairness, robustness, uncertainty, and safety - pushing the boundaries of responsible AI at scale.
DESCRIPTION
Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders - ensuring our safeguards advance both user protection and product innovation.
These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post-launch to continuously improve feature safety and user trust.
MINIMUM QUALIFICATIONS
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3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
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Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows
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Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives
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Strong analytical and independent problem-solving skills, with ability to navigate ambiguity
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Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data
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Hands-on experience collecting and analyzing language, vision, or multimodal datasets
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Background in failure analysis, quality engineering, or robustness testing for ML-driven systems
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Must be comfortable working with sensitive or potentially offensive content
PREFERRED QUALIFICATIONS
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BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience
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Proven success contributing in a highly cross-functional environment
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Experience shipping complex AI systems at global scale
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Background in model explainability, uncertainty estimation, or interpretability
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Curiosity and research interest in fairness, bias, and the societal impacts of generative AI
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Passion for building innovative, high-impact products that draw upon interdisciplinary skills
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 $181,100 and $318,400, 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.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior ML Engineer
Verify your CIP code before applying
Check your degree's CIP code against the DHS STEM OPT designated degree list before targeting Senior ML Engineer roles. Computer science, electrical engineering, and statistics degrees typically qualify, but applied mathematics subfields vary by program classification.
Filter jobs by E-Verify enrollment status
Senior ML Engineer postings don't always disclose E-Verify enrollment. Run the employer name through the E-Verify employer search before accepting a screening call so you don't spend three rounds of interviews on an ineligible company.
Frame your ML specialization in LCA job duty language
When reviewing offer letters, confirm the job duties reference model development, training pipelines, or deployment infrastructure. DOL LCA filings for Senior ML Engineers that use vague duty language face higher OFLC scrutiny, which can delay your start date.
Draft your I-983 training plan before the offer stage
Prepare a draft I-983 that maps your STEM OPT training objectives to specific ML engineering deliverables like model optimization or MLOps workflows. Employers unfamiliar with STEM OPT move faster when you arrive with a near-complete plan rather than explaining the form from scratch.
Use Migrate Mate to target employers with STEM OPT hiring history
Search Senior ML Engineer roles on Migrate Mate, which surfaces employers filtered for E-Verify enrollment and prior STEM OPT and H-1B filing activity. This narrows your list to companies already set up for the compliance steps your authorization requires.
Time your STEM OPT application around H-1B cap registration
If your initial OPT expires before October 1, file your STEM OPT extension with your DSO at least 90 days early so cap-gap coverage keeps you authorized through the H-1B start date. USCIS requires the extension application to be timely filed for cap-gap to apply.
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Find Senior ML Engineer JobsFrequently Asked Questions
Does a Senior ML Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a DHS-designated STEM field such as computer science, statistics, or electrical engineering, and the Senior ML Engineer role involves work that directly relates to that field. The employer must also be enrolled in E-Verify. Your DSO confirms eligibility by matching your degree's CIP code to the official STEM designated degree list before recommending the extension on your I-20.
How do I confirm my employer is enrolled in E-Verify?
Use the E-Verify employer search tool to look up your prospective employer by company name or federal contractor status before signing an offer. E-Verify enrollment is a hard requirement for STEM OPT, not a preference. If the company isn't enrolled, they must complete enrollment before your STEM OPT start date, which adds processing time you'll want to account for before your initial OPT expires.
What goes in the I-983 training plan for a Senior ML Engineer?
Your I-983 must describe how the Senior ML Engineer role provides practical training in a STEM field directly related to your degree. Specific deliverables work better than job descriptions: include model architecture projects, data pipeline ownership, or production deployment responsibilities. Both you and a company supervisor must sign it, and your employer must report your training progress to your DSO every six months throughout the STEM OPT period.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer's E-Verify participation is terminated after your STEM OPT begins, your work authorization is no longer valid for that employer and you must stop working. USCIS expects continuous E-Verify enrollment throughout the STEM OPT period. Your DSO should be notified immediately, and you'll need to find a new E-Verify-enrolled employer or pursue a change of status if you have another option available.
How do I find Senior ML Engineer jobs that support STEM OPT?
Migrate Mate lists Senior ML Engineer roles filtered for employers enrolled in E-Verify and with documented sponsorship history, which removes the guesswork of identifying compliant companies. Because STEM OPT requires both E-Verify enrollment and a qualifying STEM role tied to your degree, starting with employers already familiar with the process shortens the time between offer and your training plan being signed.
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