ML Inference Engineer

spaitialΒ· Engineering
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πŸ“ LondonπŸ“ MunichFullTime

About this role

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.

We’re seeking a Research Engineer to own the backend that serves our world models. You will build and run the inference systems behind our product and API, turning frontier research models into fast, reliable, and scalable services. This is a hands-on role for someone who has already owned production APIs in an AI system and can work closely with researchers to bring new models to users.

Responsibilities

  • Own the inference services and APIs that power our product, from request to generated output.

  • Optimize serving performance, reliability, and cost at scale. Maximize GPU utilization and minimize device memory footprint.

  • Apply latest techniques for improving inference performance.

  • Deploy research models as production services, including customer-specific configurations.

  • Work with research and product colleagues to bring new models to users.

Key qualifications

  • 3+ years of software engineering in an AI, machine learning, or computer vision product environment.

  • Experience designing and owning production APIs.

  • Strong Python, and experience shipping containerized services on GPU inference platforms.

  • Hands-on GPU inference performance work: profiling, memory, batching, and cold start.

  • Familiarity with 3D or computer vision data is a strong plus.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Frequently Asked Questions

Is the salary disclosed for the ML Inference Engineer position at spaitial?
The salary for this ML Inference Engineer role at spaitial is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the ML Inference Engineer position at spaitial located?
This ML Inference Engineer role at spaitial is based in London, Munich. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the ML Inference Engineer role at spaitial full-time or part-time?
This is listed as a FullTime position. It is posted as a ML Inference Engineer role in the Engineering department at spaitial.
Which team or department does the ML Inference Engineer at spaitial belong to?
This ML Inference Engineer position is part of the Engineering department at spaitial. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Inference Engineer position at spaitial?
Click the "Apply Now" button on this page. You will be redirected to spaitial's official application portal hosted on ashby where you can submit your application directly.
When was the ML Inference Engineer job at spaitial posted?
This ML Inference Engineer position at spaitial was posted on Oct 5, 2026. Apply as soon as possible β€” early applications are often reviewed first.
ML Inference Engineer
spaitial
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