Apple AI and Machine Learning group is expanding its research capacity and inviting applications for Machine Learning Researcher roles. This position sits at the frontier of long horizon, curiosity driven research with a direct path to impact across Apple products and platforms. Below is a polished, publication ready brief that covers the role scope, pay and benefits, eligibility, and a practical roadmap for submitting a standout application.
Apple Machine Learning Researcher Hiring 2025 Quick summary table
Field |
Information |
|---|---|
Employer |
Apple, AIML team |
Role title |
Machine Learning Researcher |
Location |
Cupertino, California, on site collaboration expected |
Base pay range |
147,400 USD to 272,100 USD, experience dependent |
Employment type |
Full time |
Focus areas |
Foundation models, computer vision, natural language processing, multimodal learning, efficiency and deployment at scale |
Tech stack |
Python, PyTorch, large scale training and evaluation toolchains |
Application materials |
Resume or CV, concise research statement, selected publications with links, code or artifact samples when possible |
Official site link |
Why this role matters
Apple AIML group steers both open ended scientific exploration and near term invention that ships to hundreds of millions of users. The Researcher role bridges these worlds. You will formulate novel questions, design reproducible experiments, and translate promising ideas into robust methods and tools that improve privacy aware intelligence on device and in the cloud. Success is measured by scientific quality, rigorous validation, and real user benefit.
Core responsibilities
- Frame research problems that move the state of the art in learning efficiency, robustness, alignment, and multimodal understanding
- Prototype and evaluate methods using well specified protocols and strong baselines, including ablations and stress tests
- Write high quality papers for leading venues and prepare camera ready artifacts that meet reproducibility standards
- Collaborate with product and platform teams to harden promising approaches for Apple scale deployment
- Mentor interns and junior researchers, provide thoughtful code reviews, and share best practices for experiment hygiene
- Contribute to shared tooling for data curation, training, inference, monitoring, and safety evaluation
Minimum qualifications
- PhD in computer science, electrical engineering, statistics, or a closely related field, or equivalent research experience with peer reviewed publications
- Strong track record at venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, or equivalent journals
- Proficiency with PyTorch and Python, comfort with distributed training, mixed precision, profiling, and inference optimization
- Solid mathematical grounding in linear algebra, probability, optimization, and statistical learning theory
- Demonstrated ability to design clean experiments, report results with appropriate uncertainty, and draw actionable conclusions
Preferred skills
- Experience with foundation model training or adaptation, instruction tuning, preference optimization, and safety evaluation
- Background in privacy preserving learning, on device inference, or energy aware model compression
- Familiarity with data governance, red teaming, and evaluation of long context reasoning and tool use
- Clear, concise scientific writing and presentation skills for technical and executive audiences
- Collaborative mindset that values reliability, respectful debate, and results that can be reproduced by peers
Compensation and benefits
- Base pay range 147,400 USD to 272,100 USD depending on location, skills, and experience
- Eligibility for discretionary stock units and Employee Stock Purchase Plan that aligns compensation with long term impact
- Comprehensive medical, dental, and vision coverage, retirement benefits, and education assistance for approved study
- Relocation, bonus, or other incentives may be available for eligible roles
- Product discounts and access to professional learning resources across Apple
Day to day work, tools, and impact
Researchers typically split time across literature review, experiment design, training and evaluation runs, error analysis, and collaboration with partner teams. You will maintain high quality experiment logs, dashboards, and benchmarks that enable rapid iteration without sacrificing scientific rigor. Successful lines of work often begin as small, well defined prototypes, then graduate into deeper research programs and cross functional efforts that reach users at scale.
How to apply, step by step
- Resume or CV
- Focus on first author publications, open source contributions, compute efficiency wins, and reproducibility artifacts
- Research statement
- One to two pages that outline your current agenda, past results, and two or three concrete problems you would pursue at Apple
- Selected works
- Links to papers, code, model cards, or datasets, with a brief note on your exact contribution and impact
- Submit via the Apple Careers portal
- Search for Machine Learning Researcher or AIML roles in Cupertino and apply with the materials above
- Prepare for interviews
- Expect deep dives on prior work, reading discussions on recent papers, whiteboard reasoning, and hands on coding in Python and PyTorch
Tips to strengthen your candidacy
- Emphasize robust baselines, careful ablations, and negative results that sharpen conclusions
- Quantify improvements using well accepted metrics and standardized benchmarks
- Highlight work that improved efficiency or quality under tight latency or memory constraints
- Show teamwork through co developed toolchains, mentorship, or community contributions
- Demonstrate thoughtful alignment and safety evaluation methodologies where relevant
Inclusion and equal opportunity
Apple is an equal opportunity employer committed to inclusion and fairness. The company provides reasonable accommodation during the hiring process and promotes a workplace where diverse perspectives drive better solutions.
Frequently asked questions
1) What seniority does Apple expect for this role
Apple hires across a range of levels. A strong publication record, demonstrated independent research, and impact beyond papers are key signals for senior levels.
2) Do I need a PhD to be considered
A PhD is typical for research roles, but equivalent research experience with strong publications and shipped impact can be competitive.
3) Which frameworks and tools should I know
Python and PyTorch are primary. Experience with distributed training, profiling, inference optimization, and modern evaluation suites is valuable.
4) Can I publish while at Apple
The role emphasizes high quality publications and artifacts. Publication plans are coordinated with internal review to protect user privacy and product integrity.
5) Is relocation support available
For eligible roles, relocation may be offered. Details are confirmed during the hiring process based on candidate circumstances.
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