Sr. Applied ML Engineer, Apple Services Localization Engineering **Seattle, Washington, United States** **Software and Services** **Summary** Posted: **Apr 15, 2025** Weekly Hours: **40** Role Number: **200599851** Are you passionate about building extraordinary products and embracing state of art techniques and technologies? In Apple Services Localization Engineering, we are to leveraging Machine Learning and Machine Translation to expand our global product reach and bring our Services to more users around the world. When this team introduced the App Store, it launched a cultural and economic phenomenon that changed the way people live, work, and play. These engineers continue to innovate the platform, now home to over 1.5 million apps — each crafted using the team’s own software development kit and related services. All those apps mean the store takes billions of requests from more than 500 million visitors every week, across iOS, macOS, tvOS, iPadOS, watchOS and visionOS. To deliver such a rich experience at this scale, the engineers build high- performance systems backed up by robust testing. In a world where apps have become crucial in people’s daily lives, the App Store team has become crucial to Apple’s business. **Description** We work on a wide spectrum of approaches, including foundation modeling, deep learning, model compression, transfer learning, federated learning and more. We work on core machine learning algorithms and models to power Localization across Services in an efficient and scalable manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers' devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning in Localization and software! IN THIS ROLE, YOU WILL: - Design and implement sophisticated machine learning models to optimize user experiences across Apple’s ecosystem, including App Store, Subscription services, and marketing campaigns. - Collaborate with cross-functional teams to translate business objectives into technical solutions. - Lead research and development initiatives, including LLM fine-tuning and the exploration of emerging AI technologies. - Analyze large-scale datasets to uncover actionable insights, improve model performance, and drive business impact. - Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions. - Communicate findings and recommendations effectively to technical and non-technical audiences, including leadership and business partners. - Contribute to the team’s research goals by authoring publications and filing patents in alignment with Apple’s innovation standards. - Mentor junior researchers and foster a culture of collaboration, innovation, and excellence within the team. Does this sound like you? Join our team! **Minimum Qualifications** + BS/MS in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 4+ years of experience - Proficient programming skills in Python + Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch + Proven track record in training or deployment of large models or building large-scale distributed systems + Deep understanding of Deep Learning and Large Language Models (LLMs) Natural Language Processing **Preferred Qualifications** + BS, MS or PhD in a quantitative field, including Computer Science, Math, Statistics, Physics, etc. + Strong familiarity with Java, and REST web-services **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 $135,400 and $250,600, 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. (https://www.apple.com/careers/us/benefits.html) 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . 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 (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) . 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.