AIML - Tech Lead ML Engineer, Responsible AI

AIML - Tech Lead ML Engineer, Responsible AI Cupertino, California, United States Machine Learning and AI Summary Posted: Sep 16, 2025 Weekly Hours: 40 Role Number: 200619777-0836 Join Us in Shaping the Future of Generative AI at AppleAre 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 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 Appleu2019s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, youu2019ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, weu2019ll anticipate challenges, measure real-world impact, and deliver trusted, highu2011quality AI experiences to users around the globe. Youu2019ll also contribute to forwardu2011looking research in fairness, robustness, uncertainty, and safety u2014 pushing the boundaries of responsible AI at scale. Description - Lead Responsible AI efforts for a global generative AI product in a highly cross-functional environment- Define safety policies in collaboration with leadership, design, engineering, legal, and regulatory teams, ensuring alignment with product goals- Architect mitigation and safety alignment strategies for generative models and drive integration in production- Develop models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the model deployment lifecycle- Incorporate human and automated feedback postu2011launch to continuously improve feature safety and user trust Minimum Qualifications + 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision + Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows + Excellent interpersonal skills and proven ability to translate sophisticated technical insights for crossu2011functional partners, senior leadership, and executives + Strong analytical and independent problem-solving skills, with ability to navigate ambiguity + Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multiu2011labeled data + Handsu2011on experience collecting and analyzing language, vision, or multimodal datasets + Background in failure analysis, quality engineering, or robustness testing for MLu2011driven systems + Comfortable working with sensitive or potentially offensive content Preferred Qualifications + BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience + Proven success contributing in a highly crossu2011functional environment + Experience shipping complex AI systems at global scale + Background in model explainability, uncertainty estimation, or interpretability + Curiosity and research interest in fairness, bias, and the societal impacts of generative AI + Passion for building innovative, highu2011impact 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 Appleu2019s 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 Appleu2019s Employee Stock Purchase Plan. Youu2019ll 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 u2014 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. 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 (. 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 (. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youu2019re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Created: 2025-10-04