Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.
We are hiring a Senior Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data. In this role you will implement machine learning infrastructure to understand what hundreds of millions of videos are about. You will be working with state of the art models, including large language models, to build sophisticated compound AI systems. We are excited to welcome someone who is passionate about cutting edge research in machine learning and computer vision. We want an individual who can keep up to date with the ever-expanding field of Machine Learning Operations.
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, OpenSearch, DynamoDB
Data Processing: Apache Kafka, Pandas, DBT, FastAPI
DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog
MLOps:Triton Inference Server, Weights and Biases, Transformers, Onnx, TensorRT, DVC, HuggingFace
Bachelor's or Master's degree in Computer Science or related field with 4+ years of professional experience
Machine Learning Operations
Data Engineering
Fluency with Python and SQL (Specifically Snowflake)
Experience with distributed systems and machine learning models
Experience with working with Large language models and RAG systems
Strong foundation in data structures, algorithms and software design
Thorough testing and code review standards/practices
Strong verbal and written communication skills
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
14 paid holidays off
Flexible hybrid work schedule
“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 $170,000 and $190,000. 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.
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.
Yearly based
ZEFR Marina del Rey, CA (Hybrid)