Machine Learning Scientist, Chemistry

We’re Alchemy and we’re changing the world with software + science

We are an industry-specific cloud software company helping the $1 trillion specialty chemicals industry embrace digital transformation to accelerate innovations in chemistry. If you love advanced technologies, science, business software, and ambitious teams, we’d love to hear from you. With dual headquarters in San Francisco and Novi Sad, Serbia, we are a global company serving customers all over the world.

To learn more visit www.alchemy.cloud

Job Summary

Machine Learning Scientists at Alchemy are dedicated to building intuitive and informative  AI capabilities that provide actionable insights to lab staff during R&D, development of new products or determining the best course of action for the business. You will be joining a dynamic team that is passionate about creating an industry-changing, cloud-based platform that accelerates the development of new specialty chemicals and materai.

We are looking for people who are critical thinkers, able to solve real customer problems, and experiment with new ideas with cross functional team members. 

If you enjoy working in an energetic, collaborative environment for a fast-growing tech company, and you are passionate about new technologies, you should join our team!

What you’ll do

• Work together with our customers on identification and analysis of chemistry specific data problems 
• Build, train and deploy machine learning models that address these problems 
• Work on design and implementation of our AI automation platform
• Keep up to date on emerging technology solutions that impact the data and cloud computing domains, especially in Chemistry
  

Requirements

• A degree in Chemistry
• Machine learning experience
• Proficiency in English language
• Excellent communication skills, ability to communicate in an open, clear, timely, and consistent manner.
  

Nice to have

• Knowledge of various Python ML libraries like sklearn, pandas, Scipy, Numpy, Keras etc.
• AWS experience, Sagemaker in particular
• Familiarity with software best-practices such as version control and testing
  

Qualities We Value

• Initiative - we have a shared bias for action.
• Transparency - we clearly communicate what we are working on and why.
• Accountability - we take individual and collective responsibility for what we do.
• Trust - we trust that our team members will deliver as promised.