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AIML - Linguistic Annotation Engineer, Safety & Red Teaming
Apple
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Remote Eligibility
On-site
Domain
Architecture & design
State
Pennsylvania
City
Pittsburgh
Job Description
Posted on:
September 19, 2024
Primary NIST Speciality
Securely Provision
NIST Sub-speciality
Systems Architecture
Seniority
Experienced
Salary ($K)
-
Summary and company overview
Summary
Would 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.
Company Overview
NA
Responsibilities
NA
Job Requirements
Required Qualifications
- Prior experience in linguistic annotation tasks including: Named-entity recognition, part-of-speech tagging, constituency parsing, dependency parsing, or application-specific natural language parsing
- Strong understanding of English language (linguistics, syntax, grammar) and its applications to Natural Language Processing
- Experience working on crowd-based annotations projects
- Experience developing, implementing, and communicating a sophisticated ontology or taxonomy system
- Project management expertise: Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, communicate with all levels of engineers, in-house annotators, and remote/crowd-workers
Preferred Qualifications
- BS, MS, or PhD in Linguistics or similar field and 2+ years experience as linguistic annotator
- Prior Teaching experience
- Experience interacting with LLMs (even if just for fun) and up-to-date knowledge of the kinds of issues that can occur with LLMs
- Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
- Curiosity about tech and the way in which things can go wrong
Additional commentary
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.
Summary and company overview
Summary
Would 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.
Company Overview
NA
About
Apple
Company Size
Very large (20K+)
Employer type
Enterprise
Company Rating (Glassdoor)
4.2
View Glassdoor
