Overview
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 9 day((s))
Skills
Python
GIT
Docker
C++
VFX
PyPI
Rez
Scons
NVIDIA
Job Details
Title: ML Engineer
Location: West Coast (HYBRID)
Role Overview:
We're looking for a talented Machine Learning Engineer to design, build, and deploy ML models in a collaborative, innovation-driven environment. The ideal candidate has experience across the full ML lifecycle-from data preparation and model training to deployment and monitoring-and is comfortable working with modern cloud platforms and MLOps tools.
Key Responsibilities:
- Configure systems, manage NVIDIA drivers, and allocate data for ML workloads
- Set up log servers and ensure effective logging and checkpointing
- Develop and maintain Docker/Conda-based container environments
- Support VFX pipelines using Shotgun/Shotgrid, Maya, Houdini
- Manage versioning, build, deployment, and asset tracking workflows
- Collaborate with ML and VFX teams for model integration and development
Required Skills:
- 3+ years in systems engineering (NVIDIA drivers, logging, dataset management)
- 5+ years in config management (Git, Scons, Rez, PyPI, Docker, conda, cmake)
- 3+ years in VFX pipeline development
- Expertise in Python, C++, and Shell scripting
- Hands-on with Shotgun/Shotgrid, Maya, Houdini
- Strong experience with containerization and build/integration systems
Preferred:
- Experience with animation studio compute infrastructures or render farms
- Background in ML system configuration, deployment, and logging
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.