Machine Learning Engineer II

Responsibilities

• Work with teams and projects to develop and implement a machine learning (ML) strategy to enhance our workflows and content generation capabilities.

• Educate the team on what is possible with ML.

• Build pipelines and prepare data for tuning, training, and deployment of models optimized for targeted inference.

• Partner with teams to prototype and test ML-powered features.

• Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines.

• Define, deploy, and operate agentic solutions, including integrations with MCP servers, tool definitions, and swarms of agents.

• Create agent friendly interfaces for our tools and processes.

• Implement models and pipelines from academic publications.

• Remain current with ML and real-time AI trends and ensure performance scalability across platforms.

Required Qualifications

• 4+ years full time work experience in Machine Learning, Data Engineering or related quantitative field with a track record of delivering end-to-end ML products

• Experience building training sets, fine tuning models, building agentic systems and building and operating ML pipelines

• Strong communication skills, and able to give clear direction and provide constructive feedback

• Professional experience working on live-service platforms/applications

Nice to Haves

• Experience with near real-time inference systems in games or interactive applications

• Familiarity with generative AI (e.g., text, image, audio, or animation models)

• Background in game development or creative tooling

• Experience optimizing models for performance on constrained hardware (mobile, console, etc.)

• Knowledge of MLOps best practices, including CI/CD for ML systems

• Experience implementing solutions contemplated in academic publications