ML - Data Scientist
Description For ML - Data Scientist
Join Apple's Video Engineering Data Analytics and Quality (DAQ) group as a Data Scientist focused on computer vision and deep learning. This role combines cutting-edge machine learning with practical applications in video engineering. You'll be evaluating ML models, developing performance metrics, and conducting thorough failure analyses. The position offers the opportunity to work with cross-functional teams on diverse programs, each presenting unique challenges in machine learning algorithm evaluation and quality assessment. The role requires expertise in computer vision, data processing, and model optimization techniques. You'll collaborate with domain specialists and project owners while adapting methodologies based on new insights. The position offers competitive compensation, comprehensive benefits, and the chance to work on impactful projects at one of the world's leading technology companies. This is an excellent opportunity for someone passionate about advancing the field of computer vision and machine learning while working on real-world applications that impact millions of users.
Responsibilities For ML - Data Scientist
- Evaluate Machine Learning Models: Analyze and validate machine learning and computer vision models
- Develop Metrics: Design and implement metrics to measure model effectiveness and accuracy
- Failure Analysis: Perform detailed failure analysis to understand model weaknesses
- Data Processing: Preprocess and clean large datasets for modeling
- Model Optimization: Optimize models for performance and scalability
- Collaborate with cross-functional teams to integrate models into production
Requirements For ML - Data Scientist
- Bachelor's degree
- 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
- Expertise in data wrangling and developing data visualizations & reporting with tools like Tableau, Superset, AWS
Benefits For ML - Data Scientist
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Educational expense reimbursement
- Discretionary bonuses
- Relocation benefits
- Employee Stock Purchase Plan
- Product discounts
- Free services
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