251 jobs for "Computer Vision and Machine Learning Engineer"

AIML - Machine Learning and Applied Research, Responsible AI and Safety

At Apple - Cupertino

Posted on May 28

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AIML - Machine Learning and Applied Research, Responsible AI and Safety

At Apple - Cupertino

Posted on May 28

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Senior Researcher, Multimodal

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Sr. Machine Learning Engineer, Medical Imaging

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Director, Data Scientist

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(General Hire) Machine Learning Engineer Graduate (Performance Monetization) - 2027 Start (PhD)

At TikTok - San Jose

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Staff Machine Learning Engineer - Applied AI

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Senior Engineer - Computer Vision

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2027 Consumer & Community Banking - Risk Modeling Associate Program - Summer Internship

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CCB Risk Program Associate

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(General Hire) Machine Learning Engineer Intern (Performance Monetization) - 2027 Start (PhD)

At TikTok - San Jose

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Senior AI / ML Engineer

At Dolby - Bangalore

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AI Machine Learning Engineer - Graduate (TikTok Content Ecology) - 2027 Start (PhD) - Graduate (TikTok Content Ecology) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 4

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[2027] Senior Machine Learning Engineer - PhD Early Career

At Roblox - San Mateo

Posted on Oct 8

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Apple

AIML - Machine Learning and Applied Research, Responsible AI and Safety

Cupertino, CAPosted May 28, 2026

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Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

Description

Our team leads Responsible AI & Safety 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.

You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from.

You will also work on producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.

Preferred Qualifications

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.

Proven success contributing in a highly cross-functional environment

Experience shipping complex AI systems at global scale

Minimum Qualifications

3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision

4+ Years research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)

Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models

Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.

PhD, MS or BS in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues

Pay & Benefits

This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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