Machine Learning Engineer

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.