What are the responsibilities and job description for the AI/ML Engineer position at Standard Template Labs?
Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.
About the Role
Our team is currently seeking AI/ML Engineers that will design, build, and deploy machine learning systems that form the intelligence layer of our ITSM platform. You will work on problems such as natural language understanding of IT tickets, dynamic knowledge extraction, intelligent workflow automation, and predictive insights from complex IT infrastructure data. This is a hands-on engineering role with the opportunity to define the AI foundation of a company from day one.
Responsibilities
- Design, build, and operate core infrastructure (Kubernetes, containers, CI/CD, networking, service mesh)
- Own deployment pipelines and automation to accelerate developer productivity
- Implement monitoring, alerting, and SRE practices using Datadog to achieve high availability and reliability
- Partner with product engineers to optimize workloads across APIs, data pipelines, and AI inference services
- Ensure scalability, security and resilience for a SaaS platform used by large enterprise customers
- Build with security and compliance (SOC 2, ISO 27001) in mind from the start
- Continuously improve performance, scalability, and cost efficiency of cloud infrastructure
- Contribute to internal tooling, documentation, and best practices for infrastructure
Qualifications
- Education: Degree in Computer Science, Engineering, or related field from a top-tier engineering school
- Experience: 5 years as a Platform, Infrastructure, or DevOps Engineer in SaaS environments serving large enterprise customers.
- Languages/Tools: Strong in Python, Go, or similar; proficient with Terraform, Kubernetes, and Docker.
- Cloud: Deep experience with AWS, GCP, or Azure.
- DevOps: Hands-on with CI/CD (GitHub Actions, Argo, or equivalent).
- Observability: Expert in Datadog (dashboards, APM, logging, alerts, SLOs).
- Mindset: Systems thinker, automation-first, thrives in high-velocity startup environments.
- Bonus: Background with graph databases, AI/ML infrastructure, or security engineering
- Education: Degree in Computer Science, Engineering, or related field from a top-tier engineering school
What We Offer
- Build foundational product features for an AI-first enterprise platform
- The opportunity to take ownership of critical systems that scale to millions of users
- A culture that values craftsmanship, autonomy, and technical excellence
- Competitive compensation, equity, and benefits package
- Work from our Midtown Manhattan office alongside the founding team in a focused, collaborative environment. We're in-office five days a week, moving quickly and building together—with easy access to public transportation.
As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.