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Apple Manager Data Science - System Intelligence Machine Learning ISE United States, Washington, Seattle 202822543
25.03.2025
Description
- Addressing challenges in automatic evaluation of generative results, identification and classification of failure cases, and strategies for assessing their prevalence and severity.- Streamlining human-in-the-loop processes for dataset construction, and creating and implementing systems that execute on strategies to account for subjectivity and human error.- Synthesis of training data as well as synthesis of augmentations to real-world data.
Minimum Qualifications
- Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience
- Experience leading multi-disciplinary teams passionate about practical machine learning solutions
- Ability to mentor and lead data scientists while also having a system design and implementation perspective
- Makes significant hands-on contributions to algorithms and/or implementation
Preferred Qualifications
- Passion for excellence and can instill this passion into the team and the culture
- Product-focused and strategic mentality, comfortable making hard choices from among competing priorities
- Skill in providing ongoing transparency to stakeholders and in cross-disciplinary communication
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 $181,000 and $313,000, 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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