Senior Data Scientist

Zefr•Marina del Rey, CA

4d•Hybrid

About The Position

We are hiring a Senior Data Scientist focused on the research and productionalization of Large Language Models for multimodal social media content understanding. We work with multi-terabytes of social media platform data from TikTok, YouTube, Facebook, Instagram, and Snap. In this role you will fine-tune, optimize, and deploy LLMs that understand what hundreds of millions of videos, images, and text posts are about. Your work will span the full lifecycle — from research and prototyping to production-grade serving at scale. You will fine-tune LLMs and perform inference optimizations, balancing quality, latency and cost. You will build sophisticated compound AI systems that combine multiple models and modalities into reliable, scalable pipelines. We are excited to welcome someone who is passionate about pushing the boundaries of what LLMs can do and who can keep up with the rapidly evolving landscape of foundation models and inference infrastructure. This is a role where we both expect to learn from you and have you learn from us.

Requirements

Bachelor's or Master's degree in Computer Science or related field with 4+ years of professional experience in machine learning or data science
Hands-on experience fine-tuning large language models (open-source and/or closed-source)
Experience with LLM inference optimization — KV cache management, quantization, multi-node GPU serving, batching strategies, and serving frameworks (vLLM, TensorRT LLM, SGLang)
Track record of taking ML models from research to production at scale
Fluency with Python and SQL (specifically Snowflake)
Experience working with multimodal models and features
Familiarity with cost/quality tradeoff analysis across LLM providers and self-hosted models
Experience with distributed systems and GPU-accelerated workloads
Strong foundation in data structures, algorithms, and software design
Thorough testing and code review standards/practices
Strong verbal and written communication skills
Experience working with Autonomous Coding Agents
Openness to new technologies and creative solutions

Responsibilities

Fine-tune, optimize, and deploy LLMs that understand what hundreds of millions of videos, images, and text posts are about.
Fine-tune LLMs and perform inference optimizations, balancing quality, latency and cost.
Build sophisticated compound AI systems that combine multiple models and modalities into reliable, scalable pipelines.
Research and prototype LLMs for multimodal social media content understanding.
Productionalize LLMs for serving at scale.