Jeff Vadukumcherry

Recruiter

Chicago, Illinois, United States17 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in technical recruiting for AI and ML roles.
Led recruitment for high-performance engineering teams.
Proven track record in scaling teams and processes.

Stackforce AI infers this person is a Technical Recruiter specializing in AI/ML for B2C platforms.

Contact

Skills

Core Skills

Technical RecruitingMachine LearningRecruitingUser ExperienceRecruiting StrategyAccount ManagementExecutive Search

Other Skills

Hiring StrategyRecommendation SystemsEngineering TeamsTeam ManagementEngineering RecruitingTalent AcquisitionStaffingBusiness DevelopmentSupervisory SkillsRelationship BuildingKey Performance IndicatorsManagementStrategyProject ManagementDigital Media

About

I lead engineering recruiting for Netflix’s AI for Member Systems (AIMS) teams. We are building the machine learning foundation for how millions of people experience Netflix—developing the next generation of foundation models and conversational recommender systems. Current Focus We are primarily seeking ML leaders, research scientists, and engineers to join our Foundations and Applications teams. We work across foundation models/LLMs and the applied ML systems behind recommendations, search & discovery, personalization, and messaging. Connecting If you are working on the problems mentioned above, we’d love to hear from you. When reaching out, please include a brief note on your most relevant experience. I try to review all messages, but given the volume, I am only able to respond when there is a clear fit within our current hiring needs. Logistics For Product, Design, or Production roles, please apply directly via https://jobs.netflix.com. I do not support intern or new grad hiring; please see https://jobs.netflix.com/careers/internships for those programs.

Experience

17 yrs 9 mos

Total Experience

2 yrs 11 mos

Average Tenure

4 yrs 7 mos

Current Experience

Netflix

2 roles

Talent Partner

Promoted

Nov 2023 – Present · 2 yrs 6 mos

I lead technical recruiting for AIMS (AI for Member Systems), the engine behind Netflix's personalization. My role is focused on hiring strategy and the recruitment of our research and engineering teams—especially the folks building our foundation models and recommendation systems.

Technical RecruitingHiring StrategyMachine LearningRecommendation Systems

Talent Partner

May 2021 – Jun 2023 · 2 yrs 1 mo

I led recruiting for the Client & UI Engineering group, the teams responsible for the core Netflix application platform, streaming engine, and user experiences. My work focused on assembling the mobile, web, and TVUI engineering teams that built and scaled the product across every major device, ensuring a high-performance experience for millions of members around the globe.

RecruitingUser ExperienceEngineering Teams

Uber

4 roles

Recruiting Manager

Jan 2021 – May 2021 · 4 mos

Led and managed a team supporting Uber Freight's hiring needs across Engineering, Product, Data Science, Design, Operations, Sales, and G&A

Team ManagementRecruiting

Principal Technical Recruiter

Oct 2019 – Jan 2021 · 1 yr 3 mos

Established Engineering Recruiting for Uber Freight in Uber's new Chicago tech office.

RecruitingEngineering Recruiting

Principal Technical Recruiter

Nov 2017 – Oct 2019 · 1 yr 11 mos

Recruiting Lead responsible for technical talent acquisition strategy for Uber's New York Engineering office. Rebuilt recruiting workflows & processes, expanded on recruiting infrastructure, hired and mentored an entirely new team, and doubled engineering headcount (150+) for Uber Eats Engineering teams.

Recruiting StrategyTalent Acquisition

Senior Technical Recruiter

Jul 2016 – Nov 2017 · 1 yr 4 mos

Engineering Recruiting for Uber for Business (U4B) and Mobile Platforms. In addition to recruiting Software Engineers, I staffed Uber's first few Research Scientists on our Developer Productivity teams, which focused on the development of static and dynamic analysis tools.

RecruitingStaffing