Machine Learning Platform Engineer

Schrödinger • New York, NY

1d • $120,000 - $145,000

About The Position

Schrödinger seeks a Machine Learning (ML) Platform 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 the Machine Learning team, you’ll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.
Who will love this job:
A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production
An ML expert who’s familiar with PyTorch, TensorFlow, and scikit-learn
An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems
A polymath who’s excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration

Requirements

• BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field

Nice To Haves

• Cloud platforms like AWS or GCP
• Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts, etc.)
• CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)
• Monitoring, logging, or observability systems
• Distributed computing or large-scale ML workloads
• ML training pipelines or experiment management
• Data processing pipelines or large-scale data analysis
• Source control systems (Git or similar)
• Web application development (e.g., React, TypeScript, REST APIs)
• Interest in scientific computing, chemistry, biology, physics, or related domains

Responsibilities

• Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows
• Build and maintain production systems that enable scientists to run large-scale ML workloads
• Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools
• Contribute to backend services and APIs supporting ML workflows and platform features
• Improve developer workflows, testing infrastructure, and deployment automation
• Participate in code reviews and contribute to engineering best practices across the team
• Pitch in on frontend components of the ML platform web interface when needed

Benefits

• Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.
• Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree