Senior Machine Learning Engineer
5 days ago
Sunnyvale, California, United States
Key Responsibilities- 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.
- Cross-Functional Collaboration: Work closely with software engineers, product managers, and other data scientists to integrate models into production.
- 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 and processing (SQL and 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 and reporting with toolings such as Tableau, Superset, and AWS
- Preferred Qualifications:
- Experience managing complex programs
- Familiarity with machine learning interpretability methods
- Familiarity with various foundation models such as CGPT4V, LLAMA, and 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
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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