Data Science

SpaceKnow provides transparency to global changes and trends by combining the world’s largest collection of satellite imagery with a proprietary artificial intelligence engine. Our vision is to index the physical world and empower users with near-realtime large-scale analysis to drive decision making.

SpaceKnow has two distinct products: a web-based, on-demand geospatial analytics platform (also available through API), as well as a growing suite of economic index offerings. Join a team of passionate Machine Learning Engineers to advance the state of the art in novel machine learning approaches and data science tools for processing satellite images!

You should have a proven track record of creatively solving difficult problems and you should enjoy spending your time writing code and producing results. Have experience with big data analysis, image processing, deep neural networks and cloud computation is a great plus.

Qualifications

• Software development experience in data manipulation, data mining or prototype development using Python (agile development, software version control, continuous integration, test driven development, pair programming, rapid prototyping).

• Data analysis and signal processing skills with an ability to independently prototype machine learning (deep learning) pipelines.

• Understanding of mathematical modeling, computer vision, statistical analysis, data mining

• Skilled in creative, strategic thinking and an ability to propose and deliver simple solutions to complex puzzles.

• Excellent communication and collaboration skills.

• Self-motivated and independent.

• Masters or PhD in computer science, machine learning, data science or signal processing.

Benefits

• Free drinks and food.

• Work-life balance.

• Vacation & Paid Time Off.

• Teambuildings on regular bases.

Joining Spaceknow, you will join a young team of talented and highly motivated people who strive to make an impact on the world but also have fun along the way.

Do not hesitate to send links of your contributions to FOSS projects or of any other relevant work.

SpaceKnow provides transparency to global changes and trends by combining the world’s largest collection of satellite imagery with a proprietary artificial intelligence engine. Our vision is to index the physical world and empower users with near-realtime large-scale analysis to drive decision making.

SpaceKnow has two distinct products: a web-based, on-demand geospatial analytics platform (also available through API), as well as a growing suite of economic index offerings.

Join a team of passionate Data Scientists to advance the state of the art in novel machine learning approaches and data science tools for processing satellite images.

You should have a proven track record of creatively solving difficult problems and you should enjoy spending your time writing code and producing results. Having an experience with big data analysis, image processing, deep neural networks and cloud computation is a great plus.

Qualifications

• Self-motivated, creative with critical thinking, willing to learn and solve challenging tasks.

• Background in statistics, machine learning, and/or computer science.

• Data analysis and signal processing skills with ability to independently prototype machine learning (deep learning) algorithms in Python.

• Ability to perform evaluation of statistical models and critical evaluation of datasets.

• Software development experience in data manipulation, data mining or prototype development using Python (agile development, software version control, rapid prototyping).

• Excellent communication (presentations) and collaboration skills.

• Masters or PhD in computer science, remote sensing, machine learning, data science or signal processing.

• Experience in geospatial data and/or Economic background is advantage.

Responsibilities

• Applied research in the field of geospatial artificial intelligence (supervised and unsupervised techniques).

• Rapid prototyping of data products.

• Design and implementation of computer vision algorithms, statistical models for time-series processing and data fusion algorithms.

Benefits

• Free drinks and food.

• Work-life balance.

• Vacation & Paid Time Off.

• Sick Days.

• Teambuildings on regular bases.

Joining Spaceknow, you will join a young team of talented and highly motivated people who strive to make an impact on the world but also have fun along the way.

Do not hesitate to send links of your contributions to FOSS projects or of any other relevant work.

SpaceKnow provides transparency to global changes and trends by combining the world’s largest collection of satellite imagery with a proprietary artificial intelligence engine. Our vision is to index the physical world and empower users with near-realtime large-scale analysis to drive decision making.

The main engineering task in SpaceKnow is developing and operating a Kubernetes-native highly scalable analytics platform.

If you are interested in designing and operating highly available Kubernetes clusters, you pride yourself in having robust monitoring and logging set-up in your clusters and you are not afraid of getting your hands dirty with low level issues. Join a team of motivated engineers working on cutting edge solutions that (literally) influence the world.

Your responsibilities will be:

• helping us create easy-to-deploy and easy-to-operate Kubernetes clusters (either on premises or in a public cloud environment).

• improving our CI/CD pipelines.

• helping with other system design challenges we face.

Must have skills:

• strong understanding of Kubernetes (being able to deploy a whole cluster with all support services – logging, monitoring, etc…) .

• strong understanding of Linux ecosystem (systemd, iptables, Docker…).

• solid understanding of networking (VPNs, TLS, firewalls, DNS, routing…).

• being familiar with git.

• being familiar with some of the major public cloud ecosystems (GCP, AWS…).

• being familiar with automation tools (e.g. Ansible, Jenkins, CircleCI…).

• basic understanding of databases – to be able to deploy and operate them. There are various (NoSQL and SQL) databases in our stack.

• basic scripting skills (Python, bash…).

Will help you to get in:

• having extensive experience with Google Cloud Platforms.

• programming experience in Python.

• having experience with designing and operating HW stacks (switches, firewalls, server units, GPU pools).

Joining Spaceknow, you will join a young team of talented and highly motivated people who strive to make an impact on the world but also have fun along the way.

Do not hesitate to send links of your contributions to FOSS projects or of any other relevant work.