Zefr

Senior Machine Learning Engineer, Operations

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: $170,000 - $190,000 (USD)

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.

What You'll Do

We are hiring a Machine Learning Engineer focused in ML Operations 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 infrastructure to support machine learning systems at scale processing hundreds of millions of social media videos daily. 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: Ray, 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

What We're Looking For

  • Bachelor's or Master's degree in Computer Science or related field with 4+ years of professional experience
  • Expertise in Machine Learning Operations
  • Strong Data Engineering skills
  • Fluency with Python and SQL (Specifically Snowflake)
  • Experience with distributed systems and machine learning models
  • Experience 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
  • 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!)

Compensation (for US-based employees)

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.

Company Culture

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

Python
SQL
Snowflake
Qdrant
OpenSearch
DynamoDB
Ray
Pandas
DBT
FastAPI
Github Actions
Docker
Terraform
Kubernetes
ArgoCD
AWS
GCP
Datadog
Triton Inference Server
Weights and Biases
Transformers
Onnx
TensorRT
DVC
HuggingFace
Machine Learning Operations
Data Engineering
Computer Vision
Large Language Models

Zefr

Contextual advertising technology for brands

About Zefr

Zefr focuses on contextual advertising, helping brands place their ads alongside relevant content without using personal information. Their technology is especially effective for video ads on platforms like YouTube and Facebook, allowing brands to reach specific audiences while maintaining user privacy. Zefr's Contextual Data Management Platform organizes brand preferences to deliver targeted ad campaigns with high engagement rates. The company differentiates itself by prioritizing privacy-compliant advertising, making it a valuable partner for brands looking to optimize their digital marketing efforts.

Los Angeles, CaliforniaHeadquarters
2009Year Founded
$63.1MTotal Funding
SERIES_ECompany Stage
Data & Analytics, EntertainmentIndustries
201-500Employees

Risks

Emerging AI technologies may increase competition in contextual advertising.
Reliance on platforms like YouTube and Facebook exposes Zefr to algorithm changes.
Expansion into new platforms like Snapchat may pose integration challenges.

Differentiation

Zefr specializes in privacy-compliant contextual advertising, avoiding personal information usage.
Their Contextual Data Management Platform offers impression-level transparency for ad campaigns.
Zefr's Atrium suite provides transparency in walled gardens like Meta and TikTok.

Upsides

Growing demand for privacy-compliant ads aligns with Zefr's contextual advertising approach.
Expansion into Snapchat's ad ecosystem enhances Zefr's brand safety measurement capabilities.
Promotion of Jon Morra to Chief AI Officer boosts AI-driven content analysis.

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