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Senior Machine Learning Engineer New
Blackshark AI
Graz, Austria

Job Title

Senior Machine Learning Engineer

Job Description

We are seeking a Senior Machine Learning Engineer to join our team of leading geospatial AI developers and play a key role in ensuring evolving our cutting-edge technology stays ahead of the curve even further. You’ll be joining the team that has built the geospatial engine behind some of the world’s most demanding mapping and automated feature extraction projects with leading enterprise and public sector customers.

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.

Your Mission:

  • Contribute to model training and maintenance
  • 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

Restrictions

  • Telecommuting is OK
  • Agencies are OK

Requirements

  • Passionate follower of the latest visual ML research with a detailed understanding of modern deep learning architectures and best practices
  • Relevant degree from university / university of applied sciences in a STEM field (e.g., computer science, machine learning, statistics, physics, engineering)
  • Experience in training and deploying deep learning models with Pytorch, especially CNNs and Transformers for computer vision tasks such as semantic segmentation, object detection and instance segmentation
  • Demonstrated ability to independently research and identify suitable datasets, architectures, loss functions, training techniques and validation metrics for a given problem.
  • Proven ability to build scalable data pipelines (e.g. using vectorized operations, multi-threading/multi-processing, distributed computing).
  • Strong programming skills in Python, ability to develop modular and maintainable code.
  • Fluent English skills (both written and spoken)
  • Curious, self-motivated, able 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 and/or Azure

Tech Stack:

  • Python
  • Pytorch
  • OpenCV
  • numpy
  • Linux
  • Bash

About the Company

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.

Contact Info

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