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Roles
Compensation
The minimum salary is 56.000, --€ gross per year. The effective salary depends on qualification and experience and may be significantly higher!
- Salary period
- year
- Location basis
- yearly
Tech stack
Required
Nice to have
Location
Austria, Remote EU
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- Austria or Remote EU; VISA sponsorship available
- Remote scope
- region-limited
- Timezones
- european work hours
- Visa
- VISA sponsorship available
Role details
Responsibilities
- Work within a highly motivated team to create resilient, high-scale, low latency, distributed microservices that run on hundreds of nodes in the cloud
- Solve complex scaling challenges as we push the limits ML inference on vast amounts of geospatial data
- Collaborate with a team of ML Engineers and GIS engineers to create and maintain cutting-edge GIS software products
Requirements
- strong practical knowledge of Python or experience with dynamic typing
- degree in Computer Science or equivalent experience, and like to solve technical challenges independently
- familiar with databases such as PostgreSQL
- good grasp of software engineering fundamentals: unit testing, CI/CD, automated quality assurance, integration testing, reliability, and reproducibility
- outcome-oriented, and keep the big picture in mind to proactively identify and solve issues
- experience designing, developing and deploying large scale systems or pipelines in AWS
- some experience with setting up model training pipelines and running inference at scale
Application
or reach out to HM with questions at: eivanov@ + username[:-2] + '.' + username[-2:].lower()
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- external
Company context
- Product
- platform for training custom object and change detection models on satellite/aerial/drone imagery; reconstructing 3D terrain; planetary-scale simulation platform
- Industry
- geospatial AI infrastructure
Contact
HM, eivanov
eivanov@
Description
We build geospatial AI infrastructure. Our platform lets analysts train custom object and change detection models on satellite/aerial/drone imagery in minutes, then reconstructs 3D terrain from those detections. We just shipped a planetary-scale simulation platform with Lockheed Martin powered by Unreal Engine. If you want to work on distributed systems that run in a data center one day and an edge laptop the next, we have interesting problems. Our training and inference infrastructure is processing trillions of pixels and we deliver real world impact for our customers across defense, intelligence, and local governments. Tech Stack: Python, Fast API, PyTorch, PostgreSQL, Redis, Vue.js Infrastructure Stack: Kubernetes & Docker, Linux, AWS & Azure, Azure DevOps, Terraform, ELK, Prometheus & Grafana, ArgoCD & Helm
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