Sr. AI Systems Engineer
London
Engineering – Engineering /
Full-Time /
Remote
In this role, you’ll lead the Scene Understanding Team’s computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation.
Responsibilities
- Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
- Translate state-of-the-art research into scalable, maintainable engineering systems.
- Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders,,and collaborating on roadmaps with product managers.
- Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
- Promote and enforce best practices in software development and project management.
- Mentor engineers and contribute to creating a collaborative remote team environment.
- Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.
Required Qualifications
- Bachelor's or master's degree in computer science or a related field
- 6+ years of experience as a Software Engineer
- Extensive experience in Python
- Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries
- Proven experience interfacing with AI projects, with a focus on computer vision and geometry
- Proven experience in production.
- Excellent leadership, communication, and management skills
Additional Qualifications (desired)
- Experience with asynchronous processes and event-driven architectures
- Experience with containerized applications, Kubernetes and Docker
- Experience with Azure
- Experience with multi-view stereo technologies (turning images into 3D), such as Colmap
- Experience with SLAM or Structure from Motion
- Experience in a fast-paced, product-driven startup environment
- Experience with Golang
- Experience in the autonomous retail industry or a similar domain
- Experience in MLOps, DevOps, and build/release/deployment automation.
