AIML - Sr Data Scientist, Evaluation

Apple • Cupertino, CA

1d

About The Position

At Apple, we blend world-class hardware, software, and services to produce a
tight ecosystem of products used by billions of people around the world. Machine
Learning and AI models are integrated throughout our ecosystem to enhance the
user experience. Ensuring a delightful end to end user experience requires
well-thought out data curation, rigorous evaluation methodology, and a high
signal north star metric. Guiding feature development across the entire product
life cycle requires partnering closely with modeling teams, engineers, design,
and others. At Apple’s scale, it’s paramount that your evaluation methods scale
across platforms, user-model mediums, and languages.

DESCRIPTION

Advance the performance of Apple Intelligence Large Language Models, across
Apple platforms, languages, and modalities. Advise the data training and product
roadmap for Foundation Models. Design detailed evaluation methodologies in close
partnership with engineering and product teams to support critical go/no-go
decisions. Develop and evangelize robust metrics for hillclimbing. Prototype
impactful analyses and productionalize novel pipelines. Regularly present to
partner teams and executive sponsors, both at a technical and high level.

Requirements

• Bachelors degree and 7+ years of work experience in Data Science, Machine Learning, or Analytics.
• Expertise in evaluation, either Human Evaluation, A/B Testing, UX Studies, Automated Testing, or similar.
• Strong intuition for metrics, including their strengths and shortcomings.
• A track record of positive impact on shipped products.

Nice To Haves

• Experience with LLMs, especially as it relates to evaluation and data.
• Strong communication skills and experience persuading both technical audiences and high level executive audiences.
• Passion for Apple products.

Responsibilities

• Advance the performance of Apple Intelligence Large Language Models, across Apple platforms, languages, and modalities.
• Advise the data training and product roadmap for Foundation Models.
• Design detailed evaluation methodologies in close partnership with engineering and product teams to support critical go/no-go decisions.
• Develop and evangelize robust metrics for hillclimbing.
• Prototype impactful analyses and productionalize novel pipelines.
• Regularly present to partner teams and executive sponsors, both at a technical and high level.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees