Apple · 1 month ago
SWE - Machine Learning Technical Lead, Data Engineering
Seattle, Washington, United States
Full-time
Onsite
Senior Level
$181K/yr - $318K/yr
7+ years expApple is a leading technology company that believes in the transformative power of Machine Learning and AI. They are seeking an exceptional engineering lead for their ML Data Ops team to establish and execute strategies for ML data engines, ensuring high-quality datasets that drive intelligent features across Apple products.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Collaborate with a variety of partners, from infrastructure, ML research teams to our data functions, including data engineers, to assess the needs
Identify state of the art data components used to store, expose and track ML data
Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on
Design and execute the roadmap for adoption of new components, build the pipelines necessary to connect data systems and teams
Improve automation workflows, data visualization tools, ML enrichment, asset lineage tracking, including data coming from sophisticated synthetic workflows, data governance and compliance components, storage and tracking of synthetic data
Be hands on, actively participate to the stack and implement high quality code
Qualification
Required
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience
7+ years of industry experience as a software engineer, including 2+ years as a tech lead/architect specialized in data infrastructure
Preferred
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art technologies
Expertise in Python or another modern programming language
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment
Demonstrated prior experience in foundation models such as building data infrastructure supporting generative technologies
Self-starter, able to handle ambiguity, identify risks, mitigate, and autonomously find the right people and tools to get the job done
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase