Sr. Machine Learning Engineer Job at Software Resources (Burbank)

Sr. Machine Learning Engineer

Software Resources

Location:
United States , Burbank

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job 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.

Job Responsibility:

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
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
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
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

Requirements:

Master's degree in Computer Science, Machine Learning, or related technical field with 5+ years of professional experience
Strong track record of developing and deploying machine learning models in production environments
7+ years of Python software engineering experience with a focus on building scalable applications
Proficient in modern ML frameworks and libraries (PyTorch, TensorFlow, Scikit-learn)
Experience with software development best practices (Git, testing, code reviews)
Strong understanding of ML fundamentals including model training, validation and evaluation methods
Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker)
Knowledge of data structures, algorithms, and system design principles
Excellent problem-solving skills and ability to work independently and as part of a team
Strong communication skills with the ability to explain completed technical concepts clearly
Experience deploying ML in production environments with consideration for scalability and reliability

Nice to have:

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
C++ experience is a plus

What we offer:

medical, dental, and vision coverage
a 401(k) with company match
short-term disability
life insurance with AD&D

Additional Information:

Job Posted:
January 01, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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