Machine Learning Engineer

Job Summary

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

• Design, develop, debug, and deploy advanced machine learning applications using frameworks such as PyTorch and Tensor Flow
• 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

• 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;
  Tensor Flow 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

• 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.