Machine Learning Engineer Job at KellyMitchell Group, Burbank, CA

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  • KellyMitchell Group
  • Burbank, CA

Job Description

Job Summary:

Our client is seeking a Machine Learning Engineer to join their team! This position is located in Burbank, California.

Duties:

  • Design, develop, debug, and deploy advanced machine learning applications using frameworks such as PyTorch and TensorFlow
  • Build and implement ML models across diverse domains, including computer vision, generative AI, and optimization
  • Own the full ML lifecycle, from data preparation and training to deployment, monitoring, and performance tuning
  • Evaluate and benchmark academic research, ML tools, and emerging applications to identify innovative approaches
  • Stay at the forefront of ML research, assessing new trends and translating them into solutions that support company needs
  • Share knowledge internally and contribute to external publications when appropriate
  • Facilitate technology transfer between company, external research groups, and partners
  • Collaborate closely with creative and technical teams across in the company to understand challenges and deliver tailored ML solutions
  • Communicate complex ML concepts clearly to both technical and non-technical stakeholders
  • Maintain high engineering standards through testing, documentation, and version control
  • Optimize ML models for production environments, ensuring scalability and efficiency
  • Contribute to internal ML infrastructure and tooling, improving workflows for future projects

Desired Skills/Experience:

  • Master’s degree in Computer Science or related field
  • 7+ years of experience as a Machine Learning Engineer with proven tenure
  • 2+ years with experience in PyTorch; TensorFlow a plus
  • Strong software engineering skills in Python
  • Deep understanding of ML fundamentals and experience building/deploying ML models from scratch in production
  • Hands-on experience with large-scale, distributed systems and deploying ML in production environments
  • Familiarity with ML Ops tools and practices, Git, Unix/Linux, Docker, and cloud platforms
  • Background in applied ML areas such as computer vision, generative AI, graphics, or simulation
  • Strong communication skills with the ability to explain technical concepts to varied audiences
  • Prior experience in entertainment, media, or creative industries is a plus

Benefits:

  • Medical, Dental, & Vision Insurance Plans
  • Employee-Owned Profit Sharing (ESOP)
  • 401K offered

The approximate pay range for this position is between $70.00 and $100.00 . Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Job Tags

Local area,

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