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Apple Software Engineer & Ai Data Platforms United States, Washington, Seattle 556687047
06.06.2024
Key Qualifications
- 4+ years of industry experience designing, building and supporting machine learning platforms, services and frameworks.
- Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
- Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
- Experience with build ETL pipeline and know-how of streaming data and processing technologies.
- Strong communication skills, and ability to distill technically complex concepts and data for an intelligent but non-ML audience.
- Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
- Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies.
- Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues.
- Experience with LLM and other related frameworks like Langchain, LLamaIndex
- Experience with relevant programming languages, such as Python, Java, or Go.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
Education & Experience
Bachelor’s degree or equivalent experience or equivalent in Computer Science or equivalent field
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 $131,500 and $243,300, 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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