Job Description

ML Researcher - Multimodal LLM **Sunnyvale, California, United States** **Machine Learning and AI** **Summary** Posted: **Apr 17, 2025** Role Number: **200599880** The Video Computer Vision organization is working on exciting technologies for future Apple products leveraging foundation models and multi-modal inputs. Our team delivers computer vision and machine learning algorithms that power many Apple technologies around human-centered AI. In this role, you will collaborate with SW, HW, data, and ML teams to deliver Apple quality experiences to our users. **Description** We are looking for a candidate with a strong background in developing foundation models and multimodal large language models (LLMs) that integrate various types of data such as text, audio and video. You will not only work on cutting-edge projects to advance our AI capabilities, but also contribute to practical features in Apple products and bring impact to millions of users. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs. A successful candidate will stay up-to-date with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to drive innovation- but also take a practical approach to problem solving and software engineering to deliver clean, modular, testable code. **Minimum Qualifications** + BS and a minimum of 3 years relevant industry experience + Strong software engineering skills and proficiency in Python and PyTorch. + Capable of making well-informed and practical decisions in a rapidly evolving environment. + Excellent communication and experience working with multi-functional teams. + Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule. + Curiosity and willingness to learn new things in order to improve the quality of their solutions. **Preferred Qualifications** + MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. + Strong proficiency in C/C++. + Experience in developing, training/tuning foundation models and multimodal LLMs. + Experience with training and troubleshooting generative architectures such as diffusion, flow matching, or normalizing flow at scale. + Experience applying reinforcement learning to help train foundation models a plus. **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 $147,400 and $272,100, 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 Apple's 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 Apple's 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 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 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 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 ( . Apple 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 ( . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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