Position: ML Scientist
Company: Distant Crew
Experience required: 5y
Category: Other
English level: upper
Published: 2023-01-01T00:00:00+02:00

As an ML Scientist, you will drive innovation. This entails that you will build on top of our research foundation, exploring new and better ML methods, and enhancing our product offering based on the scientific method.

As an ML Scientist, you will drive innovation. This entails that you will build on top of our research foundation, exploring new and better ML methods, and enhancing our product offering based on the scientific method. 

You will be reimplementing and benchmarking existing papers, understanding method limitations and critical assumptions, brainstorming novel ways to resolve these limitations, setting the theoretical groundwork behind the innovation, and designing evaluation procedures to confirm proposed hypotheses. 

**Your mission**

- Develop and train state-of-the-art deep learning and Explainable AI research methods
- Reimplement existing methods and identify ways in which they can be improved to enhance our product offering
- Design scientific experiments to evaluate our approaches in a variety of controlled and real-world settings
- Be on top of the latest research (ICML, ICLR, NeurIPS) and constantly look for ways to use ML to serve our customers

**What you need to succeed**

- Evidence of outstanding ability to conduct research (e.g. publications in top-tier conferences), ideally within Computer vision, Explainable AI, or Active learning
- Embodying the philosophy "think **BIG**, start small, deliver *fast*"
- Excellent communication and teamwork skills.

ℹ️ if you have the above ⬆️ , we trust you have the rest

- Proficiency with at least 1 deep learning framework (Tensorflow, Keras, PyTorch, etc)
- Proficiency with Python and basic machine learning libraries (scikit-learn, numpy, scipy, pandas, etc)
- Familiarity with Linux and bash commands
- PhD or MS degree in Computer Science, Statistics, Applied Math, Electrical Engineering, Operations Research, Econometrics, or other related fields.
- Preferably based in UK or Europe