Machine Learning Engineer

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.

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 organization 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 the 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, 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.

Required Education

• Master\'s degree or PhD in computer science or related.

Benefits

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities

• 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.

#J-18808-Ljbffr