Zefr is the global leader in brand suitability targeting and measurement across the world's largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alliance of Responsible Media's (GARM) industry standards. As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology (Cognition AI) to offer brands and agencies more precise and transparent brand safety and suitability activation and measurement solutions on scaled platforms. The company is headquartered in Los Angeles, California, with additional locations across the globe.
What you’ll do: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.
Tech stack:
Languages: Python, SQL
Data Stores: Snowflake, Qdrant
Data Processing: Ray, Pandas, DBT, FastAPI, Airflow, Astronomer, DBOS
DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog
MLOps & Inference: PyTorch, Triton Inference Server, vLLM, Nvidia Dynamo, Nvidia TensorRT LLM, Weights and Biases, Transformers, ONNX, Nvidia TensorRT, DVC, HuggingFace, CUDA, Baseten Inference
Tools: Voxel51, Claude Code, Cursor
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
Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
13 paid holidays off
In-office, hybrid, and fully-remote work options available
“Summer Fridays” (shorter work days on select Fridays during the summertime)
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)
The anticipated base salary for this position is between $200,000 and $225,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.
Skills Required
- Bachelor's or Master's degree in Computer Science or related field
- 4+ years of professional experience in machine learning or data science
- Hands-on experience fine-tuning large language models
- Experience with LLM inference optimization
- Track record of taking ML models from research to production
- Fluency with Python and SQL
- Experience working with multimodal models
- Experience with distributed systems and GPU-accelerated workloads
- Strong foundation in data structures, algorithms, and software design
- Strong verbal and written communication skills
What We Do
Zefr is the leading data and technology company that enables responsible marketing for brands, agencies and platforms. The company leverages a patented AI and machine learning engine, called Cognition AI, to offer brands and agencies more accurate and transparent activation and measurement solutions on scaled video platforms.
Why Work With Us
As employees work to bring responsible marketing to the digital advertising ecosystem, we work to improve the lives of our employees both at work and at home. We are committed to building a team that represents a variety of different backgrounds, skills, and perspectives because we know this only makes us better.
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