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Machine Learning Engineer


United States of America / Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Consumer & Hardware
  • Post Date: 08/04/2022
  • Website:
  • Company Address: 4101 Redwood Ave, Los Angeles, CA 90066, US

About ZEFR

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.

Job Description

Zefr is growing! We are hiring a 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. We are excited to welcome someone who is passionate about cutting edge research in machine learning and computer vision. We want an individual who is able to 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!


Here's what you'll get to do:

  • Use your technical and creative knowledge to design, develop, implement, and deploy solutions for integrating data from a multitude of sources
  • Manage data compilation and integration operations shared over a complex infrastructure
  • Store and organize data efficiently and allow fluid i/o workflows
  • Apply and enforce best practices for extracting, transforming, and integrating new data sources
  • Write clean, tested, and well-documented code
  • Implement cutting edge Machine Learning systems based on open source projects


Here's what we're looking for:

  • Bachelor's or Master's degree in Computer Science or related field with 2+ years of professional experience
  • Fluency with Python and SQL
  • Experience with distributed systems and machine learning models
  • 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


Here's what we use:

  • Languages: Python
  • Data stores: Snowflake, Elastic Search, PostgresSQL
  • Data processing: Apache Kafka, Dask, Pandas, Spark
  • DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS
  • MlOps: Metaflow, Seldon, Juypter, Flask, Airflow

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