What we do:
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 Machine Learning Engineer with a focus in Computer Vision modeling to help us with building state of the art computer vision classifiers. We work with multi-terabytes of social media platform data from: TikTok, YouTube, Facebook, Instagram and Snap. In this role you will implement machine learning algorithms 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 data science. 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, DynamoDB, Scylla DB
Data Processing: Apache Kafka, Pandas, DBT, FastAPI
DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog
MLOps:Triton Inference Server, Weights and Biases, Onnx, TensorRT, DVC
ML: Voxel51 Teams, Transformers, PyTorch, HuggingFace
What we’re looking for:
Bachelor's or Master's degree in Computer Science or related field with 2+ years of professional experience
Experience with training of computer vision classifiers and developing ML algorithms from scratch
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
Benefits (for US based employees)
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
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!)
Compensation (for US based employees)
The anticipated base salary for this position is between $180,000 and $205,000. 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.
