The Auto Eval team is pioneering scalable, high-fidelity evaluation frameworks for AI systems at LinkedIn, integrating human annotation with automated evaluation pipelines
Job Summary
The Auto Eval team is pioneering scalable, high-fidelity evaluation frameworks for AI systems at LinkedIn, integrating human annotation with automated evaluation pipelines.
Responsibilities include building and deploying relevance models for recommender systems, exploring novel machine learning ranking approaches, and leveraging cutting-edge techniques in Generative AI and NLP.
LinkedIn offers generous health and wellness programs, time away, and a commitment to fair and equitable compensation practices with a pay range of $114,000 - $189,000.
Matching Summary
The Auto Eval team is pioneering scalable, high-fidelity evaluation frameworks for AI systems at LinkedIn, integrating human annotation with automated evaluation pipelines.
Salary
Base: $114,000 - $189,000; Bonus/Equity: Annual performance bonus, stock, other applicable incentive compensation plans; Benefits: Health and wellness programs, time away
Skills & Requirements
Must-have
Machine learning model development
Scalability and performance engineering
Big data analysis
Generative AI and NLP techniques
Software design and development
Nice-to-have
Trust, care, inclusion, and fun culture
Analytical approach
Sense of ownership
Collaboration with partner teams
Key Requirements
Bachelor's degree in Computer Science or related technical field or equivalent technical experience
1+ years experience with machine learning, data mining, information retrieval, or NLP
1+ year of industry experience in software design, development, and algorithm related solutions
1+ years experience in programming languages such as Java, Python