Machine Learning Researcher

Schrodinger • New York, NY

136d • $120,000 - $160,000

About The Position

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.

Requirements

• 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

Nice To Haves

• 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!)

Responsibilities

• 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

Benefits

• Competitive salary
• Equity-based compensation
• Healthcare (with dental and vision)
• 401k
• Pre-tax commuter benefits
• Flexible work schedule
• Parental leave program
• Regular catered meals in the office
• Company culture that is relaxed but engaged
• Over a month of paid vacation time
• Fun company-wide events

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees