Full-Time

ML Ops Engineer

Posted on 5/10/2024

Spotter

Spotter

51-200 employees

Provides capital and data insights for YouTube creators


Compensation Overview

$100,000 - $500,000Annually

+ Stock Options + Complimentary Gym Access + Autonomy + Upward Mobility

Expert

Culver City, CA, USA

Required Skills
Communications
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Minimum of 5 years experience deploying and scaling machine learning models in a production environment
  • Extensive experience with CI/CD tools, orchestration platforms, and containerization
  • Familiarity with LLMs and diffusion models
  • Excellent communication skills
Responsibilities
  • Design, build, and maintain scalable solutions for delivering ML models
  • Enhance platform efficiency and scalability
  • Collaborate with data scientists, AI engineers, and backend engineers
  • Develop and oversee CI/CD pipelines
  • Set up and manage monitoring frameworks

Spotter provides growth capital and data insights to support YouTube creators, offering a premium catalog of over 250,000 videos. Its technologies enable transparent and efficient media solutions for advertisers and ad agencies, leveraging in-depth data insights to drive business acceleration for content creators.

Company Stage

Series D

Total Funding

$244M

Headquarters

Los Angeles, California

Founded

2019

Growth & Insights
Headcount

6 month growth

1%

1 year growth

7%

2 year growth

67%