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Apple Machine Learning Engineer- LLM United States, California, Cupertino 269775565
02.02.2025
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Description
You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
Minimum Qualifications
- 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
- Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
Preferred Qualifications
- Proven experience with LLM and LMM development, fine-tuning and application building. Experience with agents and agentic workflow is a major plus.
- Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries. Experience of working with Kubernetes, DAG, docker, Conductor, etc. is a plus.
- Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations.
- Proven experience with transformer models such as BERT, GPT, etc., and a solid understanding of their underlying principles is a plus.
- Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledges to digestible information for non-technical audience.
- Proven experience in managing and mentoring teams is a plus.
- Experience in applying ML techniques in manufacturing and testing space is a major plus.
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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