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Senior AI/ML Engineer (Remote)

vidIQ

Salary not specified
Nov 7, 2025
Remote, US
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vidIQ is looking to solve the problem of helping YouTube creators achieve their goals by providing actionable data-driven insights and AI-powered tools, and is seeking an AI/Machine Learning Engineer to drive product innovation and deliver high-impact results.

Requirements

  • 6+ years of professional software engineering experience (preferably in Python)
  • 3+ years of experience developing and delivering ML solutions into production
  • Hands-on experience building and optimizing end-to-end data and machine learning pipelines, with a focus on LLM-based solutions
  • Engineering mindset, with a high degree of comfort in designing software and producing production-grade code
  • Ability to work with modern data integration and analytics tools
  • Experience with AI-dev tools (e.g. GitHub Co-Pilot, Cursor)
  • Ability to turn ML paper into working code

Responsibilities

  • Work closely with Product Managers/Senior Leadership to frame problems within the business context and deliver the highest impact to our users
  • Design, implement and ship new features with a high level of responsibility and OWNERSHIP
  • Implement scalable solutions to consistently serve a vast global user base
  • Help establish architecture based on technology and our needs
  • Build, train, and test Machine learning/AI solutions focusing on natural language processing, recommender systems, computer vision
  • Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines
  • Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components

Other

  • Product oriented mindset
  • Proactive, results-oriented self-starter with a proven ability to drive growth and innovation in dynamic environments
  • Ability to articulate technical concepts to non-technical audiences
  • Ability to work in a FAST-PACED, results-oriented environment
  • B.S., M.S. or PhD in Computer Science or related technical field (nice to have)