Full-Time

Senior Data Scientist

Computer Vision

Posted on 5/8/2024

Zefr

Zefr

201-500 employees

AI-driven brand suitability targeting and measurement

AI & Machine Learning

Compensation Overview

$210,000Annually

+ Telecommuting Permissible

Senior

Santa Monica, CA, USA

Required Skills
Python
Data Science
Data Structures & Algorithms
Requirements
  • Master’s degree, or equivalent, in Data Science, Information Technology, Statistics, Mathematics, or related field
  • Two (2) years of data science, data engineering, software engineering, or related experience including one (1) year of experience in:
  • - Utilizing deep learning for image analysis
  • - Building footprints segmentation to ensure high IoU score and data accuracy
  • - Implementing complex deep learning architectures
  • - Implementing semantic segmentation model architectures
  • - Optimizing computer vision algorithms
  • - Synchronizing parameters across multiple graphics processing units (GPUs)
  • - Integrating machine learning models into real-world applications
  • - Collaborating with cross-functional teams to deliver segmentation and classification solutions
  • - Utilizing various machine learning related technologies such as Python, C++, MxNet, and Caffe
Responsibilities
  • Designing and optimizing large-scale systems for processing image and video data on social media platforms
  • Leveraging computer vision, machine learning, and deep learning concepts to deploy machine learning and computer vision models
  • Contributing to data management demands and providing content adjacency solutions in accordance with industry standards
  • Analyzing visual data and applying Computer Vision techniques to develop software solutions
  • Building mathematical and statistical models to analyze data and identify visual content
  • Architecting a semantic search engine for image and text embeddings
  • Scaling pipelines for processing large quantities of videos
  • Integrating models into a large-scale engineering system and translating data requirements into computer vision models
  • Prototyping creative solutions, developing machine learning pipelines, and testing theories

Zefr specializes in Brand Suitability Targeting and Measurement across walled garden platforms, utilizing their patented Cognition AI technology to score over 5 billion content types per day for brand suitability and align with industry standards for pre-flight targeting or post-campaign verification. Their AI-driven technology is designed for complex walled gardens, providing full content transparency and proven effectiveness in eliminating misaligned impressions.

Company Stage

Series E

Total Funding

$69.1M

Headquarters

Los Angeles, California

Founded

2009

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

-5%