Working alongside our machine learning, data scientists and computational chemists, you’ll develop, implement and test machine learning models for chemistry. From helping us test and advance the state-of-the-art to developing scalable ML infrastructure, performance and scalability are key to our success.

As part of the role you will:

- Deliver impactful business outcomes through the development, deployment and scaling of cutting-edge innovative DL/ML models and statistical methods at production scale
- Create models that solve chemistry problems using cutting edge methods.
- Use Google Cloud Platform and AWS to deploy, manage and secure applications and data.
- Help establish short and long term goals for our software platform, Rosalind.
- Work to maintain and improve the quality of our platform with setting best practices for testing, code review, documentation and architecture.
- Demonstrate the ability to thrive in a fast-paced, collaborative, agile environment

What We Expect:

Essential:

- Track record of developing ML within cross-functional teams.
- Hands-on experience with current machine learning toolkits, especially deep learning (e.g graph convolutional neural network, generative deep learning).
- Experience deploying and managing ML models in production
- Willing to learn about chemistry and biology in order to be more effective in your job.
- Degree in a quantitative field like statistics, applied maths, operations research and/or engineering. A Ph.D. degree is not required but preferred.
- 2+ years of industry experience in deep learning if you have a Ph.D. and 5+ years of industrial experience if you have a MSc.

Nice to have:

- Experience in ML for chemistry is not required but will help you get up to speed faster.
- An understanding of the drug discovery process.
- Experience of drug discovery data analysis, tools and packages
- Production experience with cloud platforms such as GCP and AWS.
- The ability to communicate clearly and effectively with specialists from your own and other fields.

We Offer:

- Talented, motivated and interesting co-workers.
- Intellectual challenge solving meaningful problems.
- We are still a small team so there is plenty of opportunity for a high degree of ownership over different areas of the product, and you will be directly exposed to all areas of the business.
- Your voice will always be heard. What you do or say counts.
- We are a cross-disciplinary team and come from all backgrounds and countries.
- Monthly social activities.
- Flexibility around remote working.

We believe that diversity makes for innovative, exceptional teams. GlamAI is an equal opportunity employer, committed to addressing the diversity and inclusion problem in the tech industry. That starts with making sure we have a diverse team where everyone feels at home and can contribute as an equal.