AIML Resident - Siri Agent Modeling

Great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.

The AIML Residency is a year-long program inviting experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-based products and experiences. As AI-based solutions spread across fields, the need for domain experts to understand machine learning and apply their expertise in ML settings grows. Residents will have the opportunity to attend ML and AI courses, learn from a mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with teams across hardware, software, and services. As part of Siri Agent Modeling team, Residents will be doing high-quality research on post-training multi-modal large language models using SFT and RL techniques (eg. using GRPO, etc.) to enable rich agentic experiences on devices. A few sample work streams include - reinforcement learning for general tool-use, building/enhancing planning & reasoning capabilities in LLMs, building/enhancing multimodal large language models for computer use. Residents will also have the flexibility to build product prototypes using the models we develop.

• Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project
• Demonstrated ability to connect and collaborate with others
• Graduate degree in a STEM field or equivalent industry experience in software engineering
• The AIML residency is a one-year program starting in July 2026. Residents must be available to work full-time (40 hours/week) July 13, 2026 - July 9, 2027. Additionally, applicants who are currently enrolled in a degree program must graduate before this program commences on July 13, 2026

• Ideal candidates will also have academic, research, or industry experience in one of the following: Computer vision, Large Language Models / Generative AI, Machine Learning & ML Research, Natural Language Processing/Speech/Conversational AI, Robotics, Reinforcement Learning, or Multimodal Large Language Models. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies
• We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly?
• APPLICATION DEADLINE: DECEMBER 15, 2025

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 $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.

Employees also have the opportunity to become a shareholder through participation in the company’s discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in the 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 the company, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Benefits.

Note: Benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

The company 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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Applications to this posting are accepted on an ongoing basis.