Engineering Manager - Machine Learning Team
Graz
Engineering – Machine Learning & Computer Vision /
Full-time /
On-site
Satellite and drone imagery access is on the rise, and traditional image processing methods are struggling to keep up. We’ve never had more data, and yet it’s never harder than ever to gain meaningful insights. We made our first splash in the gaming industry, when we introduced Microsoft Flight Simulator users to an incredible 3D flight experience and created the largest open world in gaming history. Since then, our pioneering tech has evolved to serve a diverse range of clients globally, from the public to commercial sectors.
Our scalable AI quickly extracts global features, providing real-time, on-demand geospatial insights with impressive speed and accuracy. We are turning months of manual work into mere minutes, and with much better results. Our platform also powers our 3D synthetic solutions, which enable large scale simulations and visualizations. Our applications cover various domains, from intelligence and defense solutions for US and US allies to disaster relief, flight simulation and training, insurances, smart cities, urban planning, and more.
We kicked off in 2020 and have secured $35 million in series A funding from a lineup of top US and European investors, among which Microsoft M12, Point72 Ventures, Maxar, In-Q-Tel, SAFRAN, and ISAI/Capgemini.
If you're all about tackling tough challenges and turning innovative ideas all the way from prototype to ready-to-go solutions, we'd love to get to know you better.
We are seeking an exceptional Engineering Manager to lead our Machine Learning team. This is a unique opportunity to drive innovation in a fast-paced, high-impact environment. You will lead a talented team of ML/computer vision engineers and GIS experts, supported by a flexible team of outsourced data labelers.
Key Responsibilities
- Collaborate closely with product management on roadmap planning and milestone estimation
- Mentor team members, conduct regular check-ins, and foster professional development
- Stay at the cutting edge of ML vision research, providing insights to team and stakeholders
- Create and drive the technical vision for the ML team, aligning with product and market strategies
- Lead ML system design and architecture decisions
- Perform code reviews and provide constructive feedback to team members
- Contribute hands-on to coding and ML development as needed
- Serve as the primary technical contact for ML product customers
- Prepare and review technical reports for internal and external consumption
Qualifications - required
- Ph.D. or equivalent experience in Machine Learning, Computer Vision, or related field
- Proven track record in academia, with published research in top-tier ML/CV conferences or journals
- Extensive engineering experience, demonstrating the ability to translate research into production-ready systems
- Strong leadership skills, with experience managing and mentoring technical teams, attracting and nurturing top technical talent
- Deep understanding of state-of-the-art ML and computer vision techniques
- Excellent communication skills, able to convey complex technical concepts to both technical and non-technical audiences
- Fluent in English (both written and spoken)
Qualifications - preferred
- Experience with geospatial data and technologies
- Familiarity with cloud computing platforms (AWS, Azure)
- Knowledge of MLOps and ML systems at scale
Tech Stack
- Languages: Python
- ML Frameworks: PyTorch, scikit-learn
- Computer Vision: OpenCV, PIL
- Geospatial: GDAL/OGR, RasterIO, Geopandas
- Cloud: AWS, Azure
- Containerization: Docker, Kubernetes
- Version Control: Git, GitLab
Why join us?
- Lead cutting-edge projects for top-tier enterprise customers across various industries
- Apply your expertise to solve real-world problems at a global scale
- Work with a dynamic team of passionate, talented colleagues from diverse backgrounds
- Competitive salary and benefits package
- Opportunity to shape the future of geospatial AI technology
At blackshark.ai, we're committed to pushing the boundaries of what's possible in geospatial AI. If you're ready to lead a team at the forefront of this exciting field, we want to hear from you.
Apply now and help us reshape the future of geospatial technology!
The minimum salary is 78.000,--€ gross per year. The effective salary depends on qualification and experience and may be significantly higher!
