Magnopus
Machine Learning Engineer II
TLDR
Define and implement machine learning strategies while collaborating with creative teams to enhance workflows and unlock new experiences.
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
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:
Magnopus creates immersive experiences that bridge the gap between physical and digital realms, leveraging expertise from a team of Oscar-winning artists, designers, and engineers. Our innovative solutions cater to industries seeking to enhance user engagement and interaction in a cohesive environment, driven by a commitment to collaboration and diverse perspectives.
- Founded
- Founded 2013
- Employees
- 51-200 employees
- Industry
- Professional Services
Machine Learning Engineer