1 year ago

Base Salary

$160k - $230k/yr

Responsibilities

  • Research, prototype, and productionize machine learning models for ticket triage, incident prediction, workflow recommendations, and CMDB inference.
  • Build scalable training and inference pipelines integrated with the core platform.
  • Experiment with LLMs, embeddings, and retrieval-augmented generation for IT knowledge and workflow automation.
  • Partner with engineering and product teams to define AI-first product features.
  • Evaluate and optimize model performance while ensuring AI systems are reliable, scalable, and cost-efficient.
  • Track advances in machine learning, LLMs, and AI infrastructure and apply them pragmatically.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field; PhD is a plus.
  • Strong software engineering fundamentals, with Python preferred, and experience with PyTorch or TensorFlow.
  • Experience in one or more of natural language processing, large language models, information retrieval, graph ML, or time-series forecasting.
  • Understanding of model versioning, deployment, monitoring, and lifecycle management.
  • Ability to take end-to-end ownership in a fast-paced startup environment.
  • Experience applying AI in enterprise software or ITSM contexts is a bonus.

Benefits

  • Competitive compensation, equity, and benefits package.
  • Work onsite five days per week at the Flatiron District office in Manhattan alongside the founding team.
  • Office location is accessible by public transportation.

Tech Stack

PythonPyTorchTensorFlow

Categories

Standard Template Labs

About Standard Template Labs

11-50 employees

Standard Template Labs builds an AI-native service and configuration management platform for enterprises, designed to learn how work happens and automate coordination across teams. The product uses a graph-based architecture and is offered as enterprise software for IT operations and business process owners. The company is privately held, headquartered in New York, and founded in 2025.

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