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Machine Learning Platform Engineer
Scorpion Therapeutics
- United States
- United States
Über
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
What you’ll do
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
What you should have
BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field
Experience with the following is nice to have, but not required
Cloud platforms like AWS or GCP
Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts)
CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions)
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
Pay and perks Schrödinger prepares a competitive salary, equity-based compensation, healthcare (including dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We also offer a month of paid vacation, flexible remote work options, and company-wide events. New York hosts our largest office, with teams around the world.
Estimated base salary range: $120,000 – $145,000. Compensation depends on experience, education, and business needs. For more details, contact our Strategic Growth team.
As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. We
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Sprachkenntnisse
- English
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