Senior Machine Learning Infrastructure Engineer

United Statessenior

EngineeringDevops Engineer

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

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,

Technical Tools

EngineeringDevops Engineer

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.

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

Responsibilities

~1 min read

→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

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)

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.

Location & Eligibility

Where is the job

United States

On-site within the country

Who can apply

About this job

Pay per year: $110,000–$160,000 a year; 21% below the $171,450 median for Devops Engineer jobs on Jobera (1,163 salaries).
Who can apply: United States
Posted: Today
Employer: has 40 open jobs on Jobera in 5 countries.