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Apple AIML - Machine Learning Engineer Data ML Innovation United States, Washington, Seattle 505052169
25.03.2025
Description
Key responsibilities include: * Develop tools to improve human-in-the-loop evaluation processes.* Develop automatic evaluation systems that systematically assess model performance and detect areas of weakness.* Automate data scientists’ performance analysis workflows to enhance the efficiency and accuracy.* Stay at the forefront of ML and GenAI advancements, quickly adopting and applying the latest techniques to improve evaluation methodologies.
Minimum Qualifications
- Experience in developing and deploying ML/GenAI applications on cloud or premise.Strong programming skills in Python; Proficient in building scalable API solutions, developing data pipelines, and working with AWS cloud infrastructure.
- Strong communication skill; Proficiency in critical thinking, problem-solving, and collaboration with cross-functional teams to address business needs.
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas.
Preferred Qualifications
- Staying on top of emerging trends in generative modeling; able to adopt new techniques and tools very quickly.
- Industrial experience in developing product evaluation system is a plus.
- Hands-on experience in building database or web applications is a plus.
- Ph.D. in Machine Learning, Computer Science, Statistics, operations Research or related areas.
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 $135,400 and $250,600, 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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