Data Scientist

Apple

Apple's Video Engineering Data Analytics and Quality group is dedicated to elevating machine learning models and their quality. This role exists to bolster the team's efforts in evaluating and optimizing machine learning algorithms. The successful candidate will collaborate with specialists and project owners to drive impactful outcomes.

In this role you can expect to have the responsibilities:

• Evaluate and validate machine learning and computer vision models to ensure robust performance.
• Design and implement metrics to assess model effectiveness.
• Conduct failure analysis to pinpoint and address model weaknesses.
• Preprocess and clean large datasets for modeling readiness.
• Optimize models for enhanced performance and scalability.
• Collaborate with cross-functional teams to integrate models into production.

This role comes with the following benefits:

• Opportunity to participate in Apple’s employee stock programs.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Tuition reimbursement for career-related formal education.
• Eligibility for bonuses or commission payments.
• Potential relocation assistance.

This role requires you to have:

• Bachelor's degree with a minimum of 3 years' industry experience.
• Proven expertise in data science, machine learning, computer vision, and statistical data analysis.
• Advanced programming skills in data manipulation and processing, particularly with SQL and Python.
• In-depth experience with machine learning model failure analysis.
• Expertise in data visualization and reporting using tools like Tableau, Superset, and AWS.

You would benefit from having:

• Experience in managing complex programs.
• Familiarity with machine learning interpretability methods.
• Knowledge of foundation models such as CGPT4V, LLAMA, and CLIP.
• Detail-oriented with a strong understanding of complex algorithms.
• Self-motivation, creativity, and critical thinking for improving data quality evaluation methods.
• Outstanding communication and collaborative skills.

Apple is an equal opportunity employer committed to diversity and inclusion, ensuring equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics.