Machine Learning Engineer
Data Revenue
The roleTired of sacrificing engineering quality for speed? Or being in a data science role that isn't about algorithms at all?Join our Machine Learning team and work on exciting ML and Engineering challenges every day. Work together with academic scientists on cutting-edge algorithms for gene and metabolomics analysis and contribute to important open-source projects.Take on a lot of responsibility: From researching the best algorithms, designing systems, to scaling your solution to millions of requests per day.
You will like the role if you want to
- Hone your skills as an engineer.
- Work on hard, interesting, and meaningful algorithmic challenges.
- Work remotely from anywhere in the world.
- Get stuff done and try 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: Familiarity with Machine Learning and MLOps.
Skills you will learn
- How to plan, design, and implement good software.
- How to build machine learning systems.
- A lot about medical research (metabolomics, genetics and proteomics).
Compensation
- 2.400 – 4.500 € / month, depending on your experience and location.
- A lot of company shares – and equal shares in yearly profits.
- Unlimited contract, >20 days paid holiday, and team holidays twice per year (we usually go sailing).
- Whatever hardware you might need (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.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
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
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