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Apple - Machine Learning Technical Lead Data Engineering United States, California, Cupertino 482752207
Yesterday
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
- 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
- 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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