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Apple Machine Learning Technical Lead Data Engineering - SIML ISE United States, California, Cupertino 578876315
14.12.2024
Description
In this position, you will:- Identify state of the art data components used to store, expose and track ML data- 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
Minimum Qualifications
- 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
- 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
Preferred Qualifications
- 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
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 $175,800 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.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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