Design, build, evaluate, and ship LLM based solutions that will enable our users to have more adaptive control of their content
Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Be part of an active group of machine learning practitioners

Requirements

An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

Benefits

health insurance
six month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
13 paid flexible holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningnatural language processinggenerative AIend-to-end production ML systemsDPOKTOreinforcement fine-tuningtech specs designmodular architectureslarge scale data processing

Soft Skills

collaborationproblem-solvingadaptabilitycommunicationteamworkleadershipevaluationtestingprototypingbest practices promotion