The role
Tired of having to sacrifice quality for last-minute features? Or being in data science roles that end up not being about science or algorithms at all?
Join our Machine Learning team and work on exciting ML and Engineering challenges every day. Work with scientists on cutting-edge algorithms for gene and metabolomics analysis. Contribute to open source for scientists.
Take on a lot of responsibility for every stage of ML projects: From researching the best algorithms, designing systems, to scaling your solution to billion of live requests per day.
Learn more about our work and research:
Tired of having to sacrifice quality for last-minute features? Or being in data science roles that end up not being about science or algorithms at all?
Join our Machine Learning team and work on exciting ML and Engineering challenges every day. Work with scientists on cutting-edge algorithms for gene and metabolomics analysis. Contribute to open source for scientists.
Take on a lot of responsibility for every stage of ML projects: From researching the best algorithms, designing systems, to scaling your solution to billion of live requests per day.
Learn more about our work and research:
- What it's like to work in our team: https://www.datarevenue.com/en-blog/working-as-machine-learning-engineer
- Our open-source library for metabolomics researchers: https://www.omigami.com/
- Our open-source MLOps Platform: https://github.com/datarevenue-berlin/OpenMLOps
- Our blog: https://datarevenue.com/en-blog
You will like the role if you want to
- Hone your skills as an engineer.
- Work on hard, interesting, and meaningful challenges.
- Work remotely from anywhere in the world.
- Get stuff done and try your ideas – with 0 bureaucracy.
- Go on team adventures around the world, twice a year.
Skills you will need
- Excellent communication skills.
- Solid Engineering Background (2-4 years development experience).
- Familiarity with Python, AWS, Docker and Kubernetes.
- Bonus: Familiar with Machine Learning, MLOps.
Skills you will learn
- How to plan, design, and implement reliable software.
- How to build machine learning systems.
- A lot! about medical research (metabolomics, genetics and proteomics).
Compensation
- 2.400 – 4.500 € / month, depending on experience and your location.
- A good amount of company shares – and equal shares in yearly profits.
- Unlimited contract, paid holiday &sick days and team holidays twice per year (we usually go sailing).
- Whatever hardware you might night (e.g. Macbook).
How to apply
- Step 1: Fill out our ML Engineer questionnaire: https://datarevenue.com/apply/ml-engineer
- Step 2: Complete a small online Code Challenge.
- Step 3: 1st Interview with our CEO
- Step 4: Machine Learning engineering code challenge
- Step 5: 2nd Interview with our CTO and a senior engineer.
- Step 6: Offer
Junior ML Engineers 🎓
We also hire exceptionally motivated and talented junior ML engineers. If that's you, apply and we will be excited to review your application.
About Us
- We are 15 Machine Learning Engineers from all over the world (US, Canada, Brazil, Portugal, Spain, Italy, Turkey, Poland and Germany)
- Growth rate: 100 - 200% per year
Data source
We Work Remotely