AIML - ML Engineer, Safety Human Evaluation jobs in United States
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Apple · 1 day ago

AIML - ML Engineer, Safety Human Evaluation

Apple is shaping the future of Generative AI and is seeking Machine Learning Engineers to work on impactful projects. This role focuses on assessing and improving the safety and inclusivity of generative AI features and involves developing metrics, designing datasets, and collaborating on safety evaluations.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Develop metrics for evaluation of safety and fairness risks inherent to generative models and Gen-AI features
Design datasets, identify data needs, and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods
Develop sampling strategies and combine human annotation with auto-grading to deliver high-quality, high-confidence insights at a fast pace and large scale
Use and implement data pipelines, and collaborate cross-functionally to execute end-to-end safety evaluations
Distill project findings into recommendations for product engineering teams and safety policy development
Develop ML-based enhancements to red teaming, model evaluation, and other processes to improve the quality of Apple Intelligence’s user-facing products
Work with highly-sensitive content with exposure to offensive and controversial content

Qualification

Machine LearningData SciencePythonHuman AnnotationGenerative ModelsCuriosityCollaborationCommunicationTeamwork

Required

MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis + at least 4 years of relevant work experience, or BA/BS with 8+ years of relevant work experience
Experience gathering and analyzing language data, image data, and/or multi-modal data, including LLM-generated data
Strong experience designing human annotation projects, writing guidelines, and dealing with highly multi-labeled, nuanced, and often conflicting data
Proficiency in data science, machine learning, analytics, and programming with Python & Pandas; strong experience with one or more plotting & visualization libraries
Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, and communicate with all levels of team members as well as external stakeholders
Strong skills for rigorous model quality metrics development; interpretation of experiments and evaluations; and presentation to executives

Preferred

Experience working in the Responsible AI space
Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
Prior scientific research and publication experience
Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures
Proven track record of contributing to diverse teams in a collaborative environment
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase