AIML - ML Data Scientist, Safety & Red Teaming
Company: Apple Inc.
Location: San Francisco
Posted on: November 6, 2024
Job Description:
AIML - ML Data Scientist, Safety & Red TeamingWould you like to
play a part in building the next generation of generative AI
applications at Apple? We're looking for data scientists and
engineers to work on ambitious projects that will impact the future
of Apple, our products, and the broader world. In this role, you'll
have the opportunity to tackle innovative problems in machine
learning, particularly focused on LLM's. As a member of the Apple
HCMI/Responsible AI group, you will be working on Apple's
generative models that will power a wide array of new features, as
well as longer term research in the generative AI space. Our team
is currently interested in large generative models for vision and
language, with particular interest on safety, robustness, and
uncertainty in models.Description
- Research and develop Responsible AI evaluation methods to
improve the quality of Apple Intelligence's user facing
products.
- Create evaluation data sets to solve difficult, non-routine
analysis problems; applying sophisticated analytical methods as
needed.
- Conduct analyses that includes data gathering and requirements
specification, processing, analysis, ongoing work, and
presentations.
- Build and prototype analysis pipelines iteratively to provide
insights at large-scale.
- Develop extensive knowledge of data structures and metrics,
advocating for changes where needed for product development.
- Partner closely with engineering teams on core machine learning
algorithms and systems that are part of how features work.Minimum
Qualifications
- Strong programming skills: Including data-querying skills (SQL
and/or Spark, etc.) and experience with a scripting language for
data processing and development (e.g., Python, R, or Scala).
- Proficiency in data science, machine learning, and analytics:
Including statistical data analysis and A/B testing. Experience
crafting, conducting, analyzing, and interpreting experiments and
investigations.
- Experience articulating and answering business questions by
applying statistical techniques to available data sources.
- Experience collecting and analyzing crowd-sourced data,
language data, image data, and/or multi-modal data.
- Strong interpersonal skills: Proven ability to explain
difficult technical topics (esp. causal topics) to everyone from
data scientists to engineers to business partners.
- Work with highly-sensitive content with exposure to offensive
and controversial content.Preferred Qualifications
- Experience working in the Responsible AI space.
- Experience dealing with highly multi-labeled, nuanced, and
often conflicting data sources.
- Ability to thrive in fast-paced environment, deal with
uncertainty, and adapt to new and changing requirements.
- History driving projects of varying sizes and scopes - some
will take months and some weeks - and you will need to cut through
ambiguity and know when to dive deep.
- Advanced degree or equivalent experience in a quantitative
field such as Statistics, Operations Research, Bioinformatics,
Cognitive Science, Economics, Linguistics, Psychology, Computer
Science, Sociology, Mathematics, Physics, or similar field.
- Proven track record of contributing to diverse teams in a
collaborative environment.
- A passion for building outstanding and innovative products.
This position involves a wide variety of interdisciplinary
skills.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. Learn more about your EEO rights as an
applicant.
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Keywords: Apple Inc., Livermore , AIML - ML Data Scientist, Safety & Red Teaming, Other , San Francisco, California
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