Senior Machine Learning Engineer

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

Design, build, evaluate, and ship and agentic based DJ solution that brings our DJ and interactive experiences to the next level.

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

We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have

a work location.