Spaitial
ML Inference Engineer
Salary not disclosed3+ yearsOnsite
- Engineering
- London
- Full time
- Yesterday
Newly posted
About the role
SpAItial is building world models that understand the physics and geometry of the environment to support industries like robotics, AR/VR, and gaming. We are looking for a Research Engineer to own the backend inference systems that serve these models. You will be responsible for turning frontier research into fast, reliable, and scalable production services.
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.
Required skills
- Python
- GPU inference
- Production APIs
- Containerized services
Nice to have
- 3D data
- Computer vision
Qualifications
- 3+ years of software engineering in an AI, machine learning, or computer vision product environment
- Experience designing and owning production APIs
About the Company
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.