Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product innovation, real-time systems, and creative collaboration. In this role, you won’t just build models, you’ll help define how machine learning transforms our projects and unlocks entirely new experiences.
You’ll partner closely with product, project, engineering, and creative teams to identify high-impact opportunities for ML, rapidly prototype solutions, and bring them into production at scale. This is a hands-on role where strategic thinking meets deep technical execution.
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.
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
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
Magnopus is an experience focused technology company founded by a team of Oscar-winning artists, designers, and engineers from games, films, and other unusual places. We’re passionate about creating rich experiences that unite the physical and digital worlds.
Because we’re building the future, we endeavor to create a diverse, creative workplace where people from many perspectives collaborate across disciplines to create amazing things together. We invest in our employee's progression with ongoing education and mentorship opportunities through their guilds, and support their happiness and productivity through generous health care, time off, and other benefits.
We try to foster a safe environment where we can take risks, and learn from our failures. While we value individual talents, we favor collaboration more. We believe that the leadership of the company works for the employees, not the other way around. We feel strongly that our employees guide who we are as a company and the work we create, so we look for characteristics of curiosity, empathy, respect, honesty, and courage in every candidate.
Though we’ve delivered a lot of crazy stuff, here are a few you can check out at home:
Jetbrains
Clari
ABBYY
Checkr