SWE - Machine Learning Technical Lead, Data Engineering
SWE - Machine Learning Technical Lead, Data Engineering
Posted on :
03-08-2025
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1 Vacancy
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Monthly Salary
USD 181100 - 272100
Vacancy
1 Vacancy
Posted on :
03-08-2025
Job Description
Our Data team focuses on acquiring synthesizing annotating and ensuring the quality of ML data driving numerous features in collaboration with R&D teams in Apples SWE organization. As a data engineering tech lead you will be responsible for establishing and executing the strategy for our organizations ML data this position you will:- 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
- 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
Employment Type
Full Time
Key Skills
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