Role overview
We are looking for a Machine Learning Engineer to join our StudioLAB team - an innovation-focused group that shapes the next generation of creative and production technology across. 12-month assignment with the possibility of extension based on project needs and performance. In this role, you'll directly drive innovation across our cinematic pipelines and theatrical experiences, applying cutting-edge ML techniques to solve unique creative challenges that impact globally recognized entertainment products. This individual contributor position offers a rare blend of technical ML work with creative applications, allowing you to see your solutions come to life in major films and experiences. We are a diverse and welcoming team that focuses on collaborative and supportive ways of working.
What you'll work on
- Participate in OP monthly team meetings and participate in team-building efforts.
- Contribute to OP technical discussions, peer reviews, etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About Us
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cybersecurity, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
What we're looking for
- Experience deploying ML in a large-scale, distributed environment.
- Familiarity with Docker or other containerization systems.
- Experience with cloud platforms (AWS, GCP, Azure).
- Understanding of MLOps practices and tools.
- Background in areas such as computer vision, graphics, generative AI, machine learning, or simulation.
- Experience working in a production software development environment with automated testing and build tools.
- Prior work in entertainment, media, or creative industries.