Senior ML Manager Cupertino,California,United States Software and Services Apple Maps creates millions of delightful user experiences every day. Our mission is simple — build the freshest and most accurate maps in the world, powering features that make everyday life better for all our users. We are looking for an experienced Senior Engineering Manager to lead an ML team who is passionate about using the cutting edge Machine Learning techniques to create, maintain and critique map data with ever reducing latency and cost. If you love applied ML research, lead a great group of ML scientists, work with highly collaborative engineering teams to take the research to production to impact millions of users, we may have a role for you. If you are passionate about Computer Vision, Generative AI, LLM fine tuning and other emerging technologies, this is a role for you! **Description** Maps is a reflection of physical world. Capturing physical world and representing it in digital world is extremely challenging and extremely rewarding at the same time. Keeping up with the physical world as it changes, requires significant technology investments in Machine Learning. From Computer Vision to Generative AI, maps data uses the most cutting edge machine learning techniques to process, interpret and contextualize data from street images, aerial images, probe and a diverse set of other sources. Maps uses machine learning to understand the world as it stands today, predict where changes occur, track those changes and collect more evidence to create a complete and accurate map. As a Senior Manager of our ML team, you will lead all aspects of ML architecture, technology selection, model training, fine tuning, ablation studies and productization. This is an applied research role with high expectations in understanding new and emerging technologies, applying to maps data problems, creating solutions. You get to collaborate with of world class cross functional resources, across engineering, data analysts, labelers and validators. You will also have a front seat in architecting a complex ML centric data platform, collaborating with some of the best engineering minds of the world. You will working on very large and very small models, ranging from data center grade solutions to edge solutions. Your work will provide freshest and most accurate data to power delightful user experiences. Successful managers at Apple are able to own details of projects and long-term vision for the team. They collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams. As a leader, you will provide technical and career mentorship to your team to ensure their success. This role also requires strong interpersonal skills and the ability to communicate technical details and dependencies to engineering partners, product management teams, and executives across Apple. **Minimum Qualifications** + 10+ years applying and leading teams that apply sophisticated statistical/ML methods and work with large, complex data sets + Experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, Machine Learning, Natural Language Processing, Computer Vision + Applicable understanding of mathematics behind modern machine learning, linear algebra and statistics + Hands on experience developing & supervising Python or Java production code + Familiarity with databases, SQL, and scripting languages + Proven track record to take requirements from design through to implementation both independently and with larger teams + You actively manage performance of the team reporting to you and take ownership to drive its outcome + Masters or equivalent experience in AI/ML/Mathematics/CS or related field **Key Qualifications** **Preferred Qualifications** + PhD or Masters in AI/ML/CS/Mathematics or related field + Experience evaluating and deploying multiple search features including large-scale machine learning models, deep-learning, and natural language processing solutions **Education & Experience** **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 $252,400 and $378,700, 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 (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 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. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy 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 you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) 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.