AI Engineer

Standard Template Labs is building machine learning capabilities that act as the intelligence layer for its ITSM platform. In this role, you will research, engineer, and deploy models that support natural language understanding, knowledge extraction, workflow automation, and predictive insights derived from IT infrastructure data.

This position is based in New York, NY (onsite), with a salary range of USD 160,000 - 230,000 per year. Applicants should have a Bachelor’s or Master’s in Computer Science, AI/ML, or a related field (a PhD is a plus).

Responsibilities

• Research, prototype, and productionize machine learning models for ITSM use cases including ticket triage, incident prediction, workflow recommendations, and CMDB inference.
• Build scalable training and inference pipelines that integrate into the core platform.
• Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) to support IT knowledge access and workflow automation.
• Partner with engineers and product managers to define AI-first features that differentiate the platform.
• Evaluate model performance, optimize for reliability, scalability, and cost-efficiency, and ensure AI systems operate as expected.
• Stay current with advances in machine learning, LLMs, and AI infrastructure, and apply them pragmatically.

Requirements

• Bachelor’s or Master’s in Computer Science, AI/ML, or a related field; PhD is a plus.
• Strong software engineering fundamentals (with Python preferred) and experience using ML frameworks such as PyTorch or TensorFlow.
• Experience with one or more of: NLP, LLMs, information retrieval, graph ML, or time-series forecasting.
• Understanding of modern MLOps practices including model versioning, deployment, monitoring, and lifecycle management.
• Comfort working in a fast-paced startup environment with end-to-end ownership.
• Bonus: experience applying AI in enterprise software or ITSM contexts.

Technologies

• Python
• PyTorch
• TensorFlow
• Natural language processing (NLP)
• Large language models (LLMs)
• Information retrieval
• Graph ML
• Time-series forecasting
• MLOps
• Embeddings
• Retrieval-augmented generation (RAG)

Benefits

• Competitive compensation, equity, and benefits package.
• On-site work from the Flatiron District, Manhattan office, with side-by-side time near the founding team. The team works on-site five days a week, supported by a collaborative environment and convenient public transportation access.

What We Offer

• Build foundational product features for an AI-first enterprise platform.
• Own critical systems that scale to millions of users.
• A culture that values craftsmanship, autonomy, and technical excellence.