Machine Learning Engineer

Software Resources has an immediate job opportunity for a Machine Learning Engineer with a major corporation in Burbank, CA.
Duration: 12 month(s)

Pay Rate:  $98 - $104/hr DOE
Description:
We are seeking a Machine Learning Engineer to join our StudioLAB team - an innovation-focused group that shapes the next generation of creative and production technology across Studios. This is a 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 who focus on collaborative and supportive ways of working.
Primary Responsibilities:
Machine Learning Development
Design, develop, debug and deploy new applications of machine learning using frameworks such as PyTorch and TensorFlow
Implement ML models for diverse use cases including computer vision, generative AI, and optimization problems
Participate in the full ML lifecycle from data preparation to model deployment and monitoring
Research & Innovation
Test and benchmark academic papers, ML applications and tools to identify cutting-edge
approaches
Stay current with ML research trends and evaluate their potential application to studio needs
Contribute to internal knowledge sharing and potentially external publications
Collaboration & Technology Transfer
Guide technology transfer both to and from external teams and research partners
Work closely with our partners across the Studios to understand and address their technical needs
Communicate complex ML concepts to both technical and non-technical stakeholders
Engineering & Implementation
Maintain high code quality standards with proper testing, documentation and version control
Optimize ML models for production environments
Contribute to our ML infrastructure and tooling
Basic Qualifications:
Strong software engineering experience in Python (2+ years); C++ experience is a plus
Experience with major deep learning frameworks (PyTorch, TensorFlow, etc.)
Solid understanding of the foundations of ML techniques, including linear algebra and statistics
Knowledge of deep learning algorithm development and experimentation
Proficiency with Git version control and Unix/Linux environments
Excellent written and verbal communication skills with ability to explain complex concepts
Preferred Qualifications:
Experience deploying ML in a large-scale, distributed environment
Familiarity with Docker or other containerization systems
Experience with cloud platforms (AWS, Google Cloud Platform, 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
Required Education:
Master's degree or PhD in computer science or related
About Software Resources
Software Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity.
We are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.
If this position fits interests you, we encourage you to apply.