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Apple Senior Machine Learning Engineer/Data Scientist (MSO) in Cupertino, California

Senior Machine Learning Engineer/Data Scientist (MSO)

Cupertino,California,United States

Software and Services

Our ever-evolving suite of Heath and Wellness products for iPhone and Watch are helping our users live more active, healthier lives. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same dedication to innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. AC Wellness Network LLC is a subsidiary of Apple Inc. and is the dedicated management services organization (MSO) for AC Wellness, a dedicated independent medical group that serves Apple Wellness Centers in Santa Clara Valley. Our mission is to deliver the world’s best healthcare experiences for Apple employees. The team is looking for a Senior Machine Learning Engineer/Data Scientist for our DS & ML team. You will be working on machine learning models that support our Health projects at the intersection of medical care delivery and cutting-edge technologies such as BERT models and LLMs. You’ll be delivering high quality ML into a live Production setting as well as helping us manage and grow the data ecosystem that drives our organization, all while working with a talented, diverse, and passionate team.

Key Qualifications

  • 6+ years experience in a data science, machine learning, and model development and deployment.

  • Superb communication, collaboration, and organizational skills.

  • Proficiency in programming with Python, Pandas, and SQL.

  • Familiarity with modern NLP tools and techniques including BERT, LLMs etc. Strong background in this area preferred.

  • Familiarity with AWS tools for machine learning, analytics, and data manipulation.

Description

We need a talented Machine Learning Engineer/Data Scientist to join our tight-knit team to deliver ML models that operate on human dialog content, medical records, and time-series data. Our org is a fast-paced environment that operates in a strongly privacy-focused, and rapidly-evolving domain. The ideal candidate will have the ability to conduct self-directed investigation into deep ML problems and come back with robust, workable solutions that can be delivered to customers. They’ll be comfortable collaborating with software engineers, data engineers, and other data scientists on Agile projects in a setting of mutual respect. They’ll also be comfortable working with a broad range of stakeholders, some of whom are not technical but have deep skills in other domains. A strong candidate will have the skills to communicate their work clearly to their colleagues and to guide engineers on product teams to the right ML solutions to solve problems, whether in terms of model choice or deployment methodology. They’ll also be ready to participate in managing the data ecosystem that drives our org to make sure that the data we’re using makes sense. We’re looking for someone who prides themselves on having adaptable intelligence, a strong team spirit, and who delight in figuring out pragmatic solutions that will touch thousands of lives.

Education & Experience

• Minimum of a Masters Degree in Statistics, Data Science, Computer Science, or a related field. • Alternatively, a comparable industry career with significant healthcare experience in machine learning and analytics.

Additional Requirements

  • • Familiarity with AWS tools for machine learning, analytics, and data manipulation.

  • • Comfort with working in a fast-paced environment where collaboration between teams is critical.

  • • An understanding of ML model measurement and assessment. Skills in RLHF are considered a plus.

  • • A real passion for innovation and have a knack for seeing around corners.

  • • This is a site based role.

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 $170,700.00 and $256,500.00, 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.

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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 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.

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) .

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