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Apple AIML - Staff Machine Learning Engineer Search United States, Washington, Seattle 917803926
25.03.2025
Minimum Qualifications
- 15+ years industry experience
- Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go.
- Experience working with large data sets and end-to-end pipelines, ideally using the Apache software stack (e.g. Spark)
- Working experience with natural language processing and machine learning frameworks such as PyTorch, Tensorflow, or JAX
- Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
- Good interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
- Experience in machine learning/AI or a similar area
- BS in Computer Science or related field
Preferred Qualifications
- MS or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field
- Experience with search and knowledge graph
- Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
- Experience with prompt engineering, fine-tuning, evaluating for large language models
- Experience with retrieval-augmented generation or generative AI technology is a plus
- Passion for building phenomenal products and curiosity to learn
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 $197,400 and $360,200, 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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