🚀 Remote (or Hybrid in Boston/San Francisco) | Full-time | Startup Environment

About Us

At Geminus we use state of the art machine learning and artificial-intelligence algorithms to integrate data, physics, and computation for autonomous control of complex industrial systems.

We’re looking for a Senior Software Engineer - Machine Learning to bridge the gap between research and production, transforming cutting-edge ML prototypes into scalable, production-ready software.

What You’ll Do

• Refactor and optimize prototype ML models into robust, maintainable production code.
• Work closely with the modeling team to understand model architectures and constraints.
• Collaborate with the software team to deploy models efficiently on our software platform.
• Partner with the application engineering team to ensure successful model delivery to enterprise customers.
• Manage multiple concurrent projects, balancing model development with deployment needs.
• Ensure models run efficiently and reliably at scale in production environments.

What We’re Looking For

• 5+ years of ML engineering experience, with a focus on productionizing models.
• Proficiency in Python, TensorFlow or PyTorch, SciPy, and FastAPI.
• Strong understanding of neural networks.
• Hands-on experience with black box global and local optimization techniques.
• Professional software engineering practices: version control (Git), testing, CI/CD, and Docker.
• Experience managing ML models at scale in production.
• Ability to work autonomously in a fast-paced startup environment.
• Experience in modeling physical processes (e.g., physics-informed AI, numerical simulations, digital twins) is a plus.

Why Join Us?

• Impact – You’ll play a key role in delivering cutting-edge ML models to real-world customers.
• Autonomy – Work in a highly independent role while collaborating across teams.
• Flexibility – Work remotely or join us in Boston or San Francisco.

💡 Excited? Let’s chat!