We’re seeking a Machine Learning Research Engineer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of our Machine Learning team, you’ll deal with DNA, RNA, small molecule design, materials design, and/or quantum physics. Previous experience in these domains is not required, but an interest in learning is.
Who will love this job:
- An engineer who can run independent projects end to end and is familiar with tensorflow, pytorch, Pandas, and sklearn
- A self-directed researcher who can wade through technical domains to get to “the real problem”
- An excellent communicator who loves collaborating in a team environment
What you’ll do:
- Collaborate closely with scientists, developers, and drug hunters to deliver new research that meet business and product goals
- Given a clean slate, assess the merit of an idea and help the team decide whether to develop it into a full feature
- Use your own judgment and with support from teammates to architect and implement proof-of-concept solutions
- Participate in a code reviewing environment that encourages learning and high code quality
What you should have:
- Basic understanding of statistics
- Ability to work with multi-dimensional data and solve data munging problems with python
- BS, MS, or PhD, in Computer Science, Software Engineering, Machine Learning, Mathematics, Physics, or Chemistry
We’d prefer to hire someone with...
- Familiarity with source control (GIT, SVN, etc.)
- Understanding of continuous integration
- Background in large-scale distributed computing (pbs, slurm, etc.)
- Experience with building systems that operate on more than ten machines
- Knowledge of log processing and data analysis
- An independent interest in science (an undergraduate major or minor is a plus!)
Top Skills
What We Do
Schrödinger is a leading provider of advanced molecular simulations and enterprise software solutions and services for pharmaceutical, biotechnology, and materials science research. The predictive power of Schrödinger's software allows scientists to accelerate their research and development, reduce research costs, and make novel discoveries.
Why Work With Us
We have a mission-driven culture that thrives off team collaboration. By utilizing a non-hierarchal approach, we hope to give all employees a voice and room to grow to their fullest potential. We actively engage in diversity and inclusion efforts, pay fairly, and always strive to provide a supportive atmosphere for our teams.
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Schrödinger, Inc. Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
