Jr. Machine Learning Engineer at Data Revenue

Posted on: 04/21/2021

Location: (REMOTE)

Glassdoor: 3.0 / 5 | Original Source

Tags: python ml kubernetes docker aws

**The challenge** We are looking for talented engineers who enjoy diverse and difficult engineering challenges. To succeed, you will need to learn about bioinformatics, devops, production software development & architecture, and how to be responsible for a project and - eventually - for a team. Together with us, you will turn cutting-edge algorithms into urgently needed software tools for metabolomics researchers - who are working to cure diseases and understand biology. **Your background** * You have at least 2 years of software development experience and are very familiar with Python. * You have experience in deploying solutions to production. * You are an excellent communicator. * You studied Computer Science (not a strict requirement). **Your motivation** * You are excited to add a scientific component to your engineering work. (Like machine learning and bioinformatics). * You are never satisfied with your code quality and are eager to learn more about writing clean code and designing good architectures. * You love taking on responsibility, working independently. Without any bureaucracy. **What you will learn** * How to design, build, test, document and deploy scalable machine learning software. * How machine learning contributes to advances genetics, metabolomics and proteomics. * Tools to deploy production ml solutions (Docker, Kubernetes, AWS, Prefect, MLFlow, Seldon, Dask, ...) **Why it's fun** * You will never be bored. * You will work with and learn from a large team of like minded engineers. * Contribute to open source software. * Go sailing together with the entire team twice a year. * Get shares in the company and the profit. * Work with a team of only software engineers - we have no business managers. **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 Want to learn more about what we are working on? Checkout [our blog](https://datarevenue.com/en-blog).