---
title: 'Senior Machine Learning Infrastructure Engineer at Schrödinger'
canonical: 'https://feeny.ai/job/senior-machine-learning-infrastructure-engineer-schrodinger-new-york-wrnweq40enp8'
type: 'job'
last_seen: '2026-11-11'
---

# Senior Machine Learning Infrastructure Engineer at Schrödinger

- **Company:** Schrödinger
- **Location:** New York, NY
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-11
- **Apply:** https://job-boards.greenhouse.io/schrdinger/jobs/8042252003

## Job description

We’re seeking a Senior Machine Learning Infrastructure Engineer to join us in our mission to transform the discovery of therapeutics and materials.

As a member of the Machine Learning team, you’ll play a key role in building and maintaining the systems that put ML models and AI agents to work in drug discovery. LiveDesign ML trains and serves models on live project data, both in our own clusters and in customers' LiveDesign environments. Bunsen is an agentic platform where every session runs an AI agent in its own isolated Kubernetes pod. We also run locked-down environments for federated-learning collaborations with pharma partners.

You'll own the infrastructure behind these products, across our own clusters and customer clouds on GCP and AWS. Today, ML engineers handle it alongside feature work. You'll make it your focus: repeatable customer deployments, strong isolation for AI-generated code, and reliable, cost-efficient GPU systems.

Who will love this job:

- A Terraform or OpenTofu and Helm writer who has shipped with GitOps
- A solid Python and shell scripter
- A security-minded engineer who defaults to least privilege, managed secrets, and segmented networks
- A clear communicator who enjoys working closely with ML engineers and scientists

What you’ll do:

- Turn customer installs and upgrades into versioned, GitOps-driven releases (Helm, OpenTofu, Argo CD) with automated verification
- Design isolation for multi-tenant agent sandboxes: network policy, workload identity, runtime sandboxing, and egress control
- Secure CI/CD and the software supply chain with keyless auth, ephemeral runners, and pinned, signed images
- Build and operate locked-down partner environments with private networking, default-deny egress, just-in-time access, and audit logging
- Keep GPU-heavy training and inference reliable and cost-efficient, backed by observability, SLOs, and on-call

What you should have:

- At least six years of infrastructure, platform, or SRE experience
- In-depth understanding of Kubernetes operation (not just deployment)
- Robust background with GCP (and some familiarity with AWS)

We’d prefer to hire someone who has experience with:

- Running GPU workloads and model serving (vLLM, Knative) on Kubernetes
- Sandboxing untrusted code (gVisor, Kata Containers, Cilium)
- Shipping software into customer-owned or restricted-egress clouds
- Argo Workflows or batch/HPC scheduling
- Regulated environments (SOC 2, ISO 27001, GxP)
- Operating LLM or agent platforms

Pay and perks:

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 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: $110,000 - $160,000. 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.

Sound exciting? Apply today and join us!

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.

## About Schrödinger

## Company Overview
- **One-liner**: Schrödinger provides a physics-based computational platform for molecular discovery and design, transforming how therapeutics and materials are discovered.
- **Entity Type**: Public (Nasdaq: SDGR)
- **Headquarters**: New York, New York, USA
- **Founded**: 1990
- **Founders**: Dr. Richard A. Friesner (co-founder) and Dr. William A. Goddard III (co-founder)

## Core Business
- **Primary industry/industries**: Biotechnology, Drug Discovery, Materials Science, Computational Chemistry, Software
- **Target customers**: B2B — pharmaceutical companies, biotech firms, and materials science organizations (R&D, discovery teams); also serves academic institutions.
- **Mission or purpose statement**: “Our mission is to improve human health and quality of life by transforming the way therapeutics and materials are discovered.” [schrodinger.com](https://www.schrodinger.com/company/about/)

## Products & Services
- **FEP+ (Free Energy Perturbation+)**: A physics-based computational tool for accurately predicting binding affinities and optimizing drug candidates (SaaS).
- **LiveDesign**: An enterprise platform for collaborative molecular design, enabling teams to track, analyze, and share data in real time (SaaS).
- **Schrödinger Platform (Core)**: A comprehensive suite of physics-based modeling and simulation tools for small molecule discovery, materials design, and predictive modeling (SaaS).
- **Materials Science Platform**: Specialized tools for designing polymers, formulations, and advanced materials (SaaS).
- **Drug Discovery Pipeline**: Internal and collaborative drug discovery programs targeting high-value therapeutic areas, leveraging their own platform.
- **Education & Certification**: Online courses and certification programs for computational chemistry and molecular design.

## Market Standing
- **Valuation/Market Cap**: As of early 2025, market cap is approximately $2.5–3.0 billion (fluctuates with market).
- **Key Metric**: Annual Revenue (public) — FY2024 revenue was approximately $180–200 million (SaaS + drug discovery collaborations).
- **Notable Investors/Partners**: Key partners include major pharmaceutical companies (e.g., Novartis, Takeda, Bayer) and materials science firms. Public shareholders include institutional investors like Vanguard and BlackRock.
- **Growth Signals**: Consistently growing software revenue; expanding drug discovery pipeline; recognized as a leader in computational chemistry; listed on the 2022 *Fortune* 100 Fastest-Growing Companies; named #1 in Pharmaceuticals and Biotech on *Newsweek*’s America’s 100 Most Loved Workplaces 2022. [schrodinger.com](https://www.schrodinger.com/company/about/)

## Competitive Advantages
- **Physics-based platform**: Proprietary, physics-first approach (not purely AI/ML) that provides high accuracy and predictive power, differentiating from competitors.
- **Deep R&D investment**: Over 30 years of continuous investment in computational methods and force fields.
- **Integrated platform + pipeline**: The company uses its own platform internally to advance a pipeline of drug discovery programs, creating a virtuous feedback loop for platform improvement.
- **Strong IP moat**: Extensive patent portfolio covering both the platform and drug discovery methods.
- **Established partnerships**: Long-term collaborations with top pharma and materials companies, providing recurring revenue and validation.

## Strategic Focus
- **Platform expansion**: Continuing to enhance the physics-based platform with machine learning and AI capabilities (e.g., ML-driven force fields, retrosynthesis).
- **Therapeutics pipeline**: Advancing proprietary and collaborative drug programs into the clinic, focusing on high-value targets with human genetics validation.
- **Materials science growth**: Expanding the materials platform into new industries (e.g., electronics, consumer goods).
- **Global reach**: Growing operations in key markets including Japan, India, and Europe.

## Why Work Here
- **Culture & values**: Emphasizes collaboration, compassion, diversity, and ethical conduct. Recognized as a top workplace (No. 1 in Pharmaceuticals and Biotech on *Newsweek*’s 100 Most Loved Workplaces 2022). [schrodinger.com](https://www.schrodinger.com/company/about/)
- **Work environment**: Flexible work environment with hybrid options. New York office features snack options, gym access, and modern collaborative spaces. [schrodinger.com](https://www.schrodinger.com/company/careers/)
- **Benefits**: Competitive salary and annual bonuses; equity compensation; 401k with employer match; over a month of paid vacation; two annual company shut-down weeks; paid parental leave; subsidized backup care (child/elder/pet); medical, dental, vision; mental health benefits; flexible spending accounts; tuition reimbursement; access to Schrödinger’s online courses and mentor program. [schrodinger.com](https://www.schrodinger.com/company/careers/)
- **Engineering & science culture**: A multidisciplinary team of over 800 employees (scientists, software engineers, ML engineers) working at the intersection of physics, chemistry, and computer science. Strong focus on professional development and learning.
- **Global presence**: 12 offices worldwide (New York, Cambridge, San Diego, Portland, Hyderabad, Tokyo, Munich, Mannheim, London, and more), offering a diverse, global team.

## Sources
1. [Schrödinger About Page](https://www.schrodinger.com/company/about/)
2. [Schrödinger Careers Page](https://www.schrodinger.com/company/careers/)
3. [Schrödinger Homepage](https://www.schrodinger.com/)
4. [Schrödinger Team Page](https://www.schrodinger.com/company/team/)
5. [Schrödinger Jobs on Greenhouse](http://job-boards.greenhouse.io/schrdinger)

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