Software Engineering

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.

The backend team ensures this can happen by creating a distributed and fault-tolerant platform that scales from couple to thousands of nodes.

Join a team of passionate Pythonistas and build systems like no one has ever done before!

We are looking for talented people rather than having specific requirements (Python, Java, C#, C++ or similar).

Our daily bread is designing APIs, and improving scalability, security and stability of the platform.

All backend systems are accessible via RESTful APIs, hosted on Google Cloud Platform and written in Python.

We utilize technologies such as:

• Kubernetes.

• Google Cloud Platform.

• RabbitMQ.

• Redis.

• MongoDB.

Our development process is test driven. We do code review on all changes or pair programming. We are building a continuous deployment ecosystem and have very agile/lean attitude. Every good idea is considered because we believe that meritocracy is the best way to lead skilled people.

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.

ReOrbit is bringing technology together to reshape the future of space technology. Our vision is to explore novel ways of doing space systems. We are actively developing technologies to equip our spacecraft platforms with more autonomy and more connectivity and this requires building a very strong multidisciplinary team. Our headquarters is in Helsinki, Finland, and we are growing.

Job Description

We are looking for a versatile Machine Learning Engineer to take part in developing groundbreaking technologies for autonomous rendezvous, formation flying, and proximity operations of space systems. This particular position is a blend of machine learning, data engineering, statistics, and signal processing. This role calls for an engineer with experience working with vehicle telemetry, implementing trend detection algorithms, filters, correlations, regressions, identifying distributions, and performing system identification using Python, on Linux Environments. You will report to the CTO and interact permanently with the rest of the tech team. This position will give you autonomy and the opportunity to work on a very ambitious project, where working code will always preempt meetings and PowerPoint slides.

Responsibilities

• Develop and prototype algorithms, models, and analytical tools for time-series data forecasting aimed at autonomous spacecraft control.

• Build the AI/ML capabilities roadmap and conduct core research in the area.

• Perform analysis on a wide variety of large and disparate datasets using highly complex and novel techniques.

• Develop state-of-the-art and novel techniques such as supervised and unsupervised learning, machine learning, and deep learning for spacecraft anomaly detection and forecasting, formation flying, and rendezvous operations.

Skills & Requirements

• MSc in Computer Science, Software Engineering, Electrical Engineering or similar with 3-5 years of relevant experience.

• Experience in Machine learning, signal processing, computer vision, and algorithms.

• Experience working with large datasets of time-series multivariate data in different formats: CSV, SQLite, pandasql, MySQL, NoSQL, JSON, BSON, XML.

• Very good level in Python

• Experience working with Linux environment (required).

• Exposure to embedded systems is strongly desired.

• Experience in space projects is welcome.

• Excellent communication and writing skills and the ability to explain things concisely to a diverse audience.

• Ability to work independently, under (reasonable) pressure in a thriving environment.

A candidate should be located/willing to relocate to Helsinki.

Giving us the chance to see your projects and repositories is a big plus. Candidates will need to complete a practical task to gauge their skill set that aligns with what was listed above.

Interviews will be conducted on an ongoing basis, so don’t wait to submit your application!