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Apple ML - Data Scientist United States, California, Sunnyvale 42717250
21.11.2024
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Description
IN THIS ROLE YOU WILL:- Evaluate Machine Learning Models: Analyze and validate machine learning and computer vision models to ensure they meet performance standards.- Develop Metrics: Design and implement metrics to measure the effectiveness and accuracy of models.- Failure Analysis: Perform detailed failure analysis to understand model weaknesses and identify areas for improvement.- Data Processing: Preprocess and clean large datasets to prepare them for modeling.- Model Optimization: Optimize models for performance and scalability, applying state-of-the-art techniques.
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience
- Solid background in data science, machine learning, Computer vision and statistical data analysis
- Advanced programming skills in data manipulation & processing (SQL & Python preferred)
- Demonstrated experience in in-depth analysis of machine learning model failures
- Experience crafting, conducting, analyzing, and interpreting experiments and investigations
- Expertise in data wrangling and developing data visualizations & reporting with toolings such asTableau, Superset, AWS etc.
Preferred Qualifications
- Experience managing complex programs
- Familiar with machine learning interpretability method
- Familiar with various foundation models such as CGPT4V, LLAMA, CLIP
- Detail-oriented to keep track of and understand the workings of complex algorithms
- Self-motivated, curious, creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
- Outstanding verbal and written communication skills, along with strong collaborative abilities
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 $143,100 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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