AIML - Sr Responsible AI Research Manager, Data & ML Innovation

Seattle,Washington,United States

Machine Learning and AI

Join us as we build the best products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a technical leader with a strong record in Applied Research passionate about ML and Human-Computer Interaction, mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead and build an organization accountable for researching and making ML technologies that enable breakthrough user experiences while upholding Apple's values and quality standards.

**Description**

This role will be highly multifunctional. You will collaborate closely with highly skilled machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products that uphold our values and quality standards. We believe that the most exciting problems in machine learning research arise at the intersection with real-world use cases and that this is also where the most critical breakthroughs come from. In this role, you will be both an internal leader and a leader in the external research community to translate applied research work into broader societal impact. AS A SENIOR RESEARCH MANAGER, YOU WILL: - Lead teams of machine learning and research engineers to define and deliver responsible machine learning technologies - Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of our AI-driven platform and features. - Work cross-functionally on a diverse set of challenging problems and collaborate with extraordinary software and machine learning engineers and researchers to impact the future of Apple products. - Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution. - Build and grow inclusive, high-functioning, diverse teams.

**Minimum Qualifications**

**Key Qualifications**

5 years leading teams that have delivered sophisticated machine-learning systems and human-centered AI products

Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues, e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.

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

Strong in human-centered research and design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields

Strong organizational and operational skills working with large, cross-functional, and diverse teams

**Preferred Qualifications**

**Education & Experience**

Ph.D. or equivalent experience in Computer Science, Machine Learning, and Human-Computer Interaction.

**Additional Requirements**

**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 $230,500 and $346,300, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

**Apple Footer**

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .