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 field7+ years of experience as a Machine Learning Engineer with proven tenure2+ years with experience in PyTorch; TensorFlow a plusStrong software engineering skills in PythonDeep understanding of ML fundamentals and experience building / deploying ML models from scratch in productionHands-on experience with large-scale, distributed systems and deploying ML in production environmentsFamiliarity with ML Ops tools and practices, Git, Unix / Linux, Docker, and cloud platformsBackground in applied ML areas such as computer vision, generative AI, graphics, or simulationStrong communication skills with the ability to explain technical concepts to varied audiencesPrior experience in entertainment, media, or creative industries is a plusBenefits :
Medical, Dental, & Vision Insurance PlansEmployee-Owned Profit Sharing (ESOP)401K offeredThe 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.