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Apple NLP Solutions Software Engineer United States, California, Cupertino 620820158
19.09.2024
Description
In this highly visible role, your primary responsibilities will include:- Developing LLM components for use in generative AI applications.- Enabling the organization to leverage data and drive efficiency in chip delivery.
Minimum Qualifications
- Python programming experience
- Hands-on-experience in NLP and Data Science principles (ie. Indexing knowledge, pre-processing data, or fine-tuning models)
- Knowledge of current Gen AI research in one of the following areas: RAG, Semantic Search, Agents, or Prompt Engineering
- Minimum requirement of BS and 10+ years of relevant industry experience
Preferred Qualifications
- Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Milvus, Qdrant), or similarity match & ranking techniques
- Strong background in ML related software engineering such as infrastructure, frameworks or tools
- Proficiency in articulating technical and architectural challenges in a precise manner. Experience collaborating with partners to develop and iterate on solutions
- Designed and optimized RESTful services
- Comfort within Linux/Unix environments
- Understanding of software engineering practices (agile, code review, automated builds, regressions testing)
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 $312,200, 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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