AIML - Data Scientist, Data and ML Innovation

Key Skills

Aartificial intelligence, Data Analytics, Data science techniques, Large Language Models - LLMs, Machine learning techniques, Python Programming, SQL

Job Description

Research and develop evaluation methods to improve the quality of Apple user facing products with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day.

Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.

Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations. Use data from multiple types of sources including human annotation data.

Build and prototype analysis pipelines and visualizations iteratively to provide insights at scale. Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development. Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations.

You should be passionate about building outstanding products using rigorous and innovative ways with the data at hand. You are determined to making and sharing impactful work through methodological development and articulate and persuasive communication.

Minimum Qualifications

• Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
• Using Foundation Models for data science: prompt engineering and fine-tune foundational models for specific tasks.
• Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners.
• Strong programming skills, including data-querying skills (SQL) and experience with Python scripting language for data processing and development. Be able to translate ideas/methods into code and dashboards without hesitation.
• S in Statistics, Machine Learning, Computer Science, Operations Research or related areas.

Preferred Qualifications

• Ph.D. in machine learning, computer science, statistics, operations research or related areas.
• Experience with large language models, leveraging LLM for evaluation and product improvement.
• Worked in areas intersecting Responsible AI and Generative AI
• Worked with methods that account for variability in human annotation data
• Some comfort in the use of JavaScript frameworks to design UI mock ups.

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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.