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Senior Machine Learning Engineer

Permanent employee, Full-time · Graz, Am Eisernen Tor 1 / 3

About us
Welcome to Blackshark.ai. We believe in creating value by providing powerful insights. 

Blackshark.ai is creating a digital twin of planet earth powered by satellite data & artificial intelligence. 

We are a team of 50+ data scientists, geospatial engineers, 3D rendering programmers and developers based in San Francisco, Seattle, US, and Graz, Austria, Europe's computer vision hub.

Our revolutionary platform is using Machine Learning to extract information from the surface of our planet by using satellite imagery and other relevant data. A patented reconstruction technology allows streaming and rendering of detected 3D features in unmatched visual quality containing material properties and other semantic features.

We have a culture being focused on individuals and their individual goals in order to create something bigger than ourselves. 

Come and join Blackshark.ai and help us create the ultimate vision of a digital Planet Earth.
Your mission
We are seeking an Senior Machine Learning Engineer to play a key role in ensuring our cutting-edge technology stays ahead of the curve.

You will research best practices, develop novel approaches, work on prototypes and evaluate what performs best. Whether you discovered a medium article or heard of a new function that is buzzing, have a closer look and see how it performs for us! You will experiment on a large scale on cloud infrastructure with high-end GPUs and TPUs.

In particular, you will:

  • Develop workflows and pipelines for faster and more efficient imagery annotation, model training, model deployment, and continual monitoring of computer vision algorithms
  • Integrate latest techniques from machine learning research (from supervised learning to generative models) into training and inference algorithms.
  • Contribute development to our scalable architecture to support our multi-source, geospatial analytics platform
  • Develop and deploy microservices for machine learning model inference
  • Mentor other members on your team with code reviews, design discussions, and new technologies
  • Collaborate with engineers from our platform and product engineering teams

Our Tech Stack:

  • Languages: Python3, C/C++, JavaScript
  • Deep Learning: Pytorch, Torchvision, CUDA, Horovod, Imgaug, scikit-learn
  • Image Processing: Numpy, OpenCV, SciPy, scikit-image, matplotlib
  • Data: PostgreSQL + PostGIS, SQLite, SQLAlchemy, GeoAlchemy, Alembic
  • Backend: FastAPI, Django, Dramatiq, RabbitMQ
  • Geospatial: GDAL/OGR, RasterIO, Geopandas, GeoServer, OWSLib, QGIS, ArcGIS
  • Version Control: Git, GitLab, Perforce
  • Continuous Integration: GitLab CI, Jenkins
  • Logging: Logstash, ELK
  • Frontend: Vue.js, OpenLayers
  • OS: Linux, Windows
  • Deployment: Docker, Kubernetes
  • Cloud Services: AWS, Azure, Exoscale
  • Task Management: JIRA
  • Knowledge Base: Confluence
  • Communication: Mattermost, Zoom

Your profile
  • Passionate follower of the latest visual AI research with a detailed understanding of modern deep learning architectures and convolutional neural networks (CNNs)
  • Relevant degree from university / FH in a STEM field (e.g., computer science, machine learning, statistics, physics, engineering)
  • Proven ability to build scalable software operating on large datasets and with a high degree of task parallelism in Python (or similar language)
  • Experience in classic computer vision (2D image processing)
  • Python, Pytorch (or other deep learning frameworks), OpenCV, numpy, Linux / Bash
  • Fluent English skills (both written and spoken)
  • Self-motivated, ability to learn quickly and adapt to changes
  • Strong analytical and problem solving skills, including software debugging, and familiarity with the challenges of developing computer vision algorithms
  • Working experience with cloud computing platforms like AWS
Why join us?
  • Cutting-edge projects with global Tier 1 reference customers in a wide range of industries.
  • A straightforward mindset: focus on the goal, get things done, and keep cool.
  • Friendly atmosphere, with amazing and passionate colleagues from all backgrounds and nationalities.
  • Flat hierarchy, fast decisions, and agile work environment where your ideas and concepts are welcome.
  • The opportunity to learn and develop in a team eager to drive innovation.
  • A culture that values teamwork, expertise sharing and humility, and where all collaborate towards the same goal.
  • Work-life balance and the flexibility to accommodate personal situations.
  • HQ situated in Graz, Austria, a hidden gem with an extraordinary high quality of life, between the Mediterranean Sea and the Alps.
  • A competitive salary based on experience and qualifications.*
*The remuneration for the position advertised above is fixed by Austrian collective agreement. The effective salary depends on qualification and experience and may be significantly higher. 
Your application
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