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Standard Template LabsStandard Template LabsNew York, NY

AI Engineer

Build and deploy machine learning systems powering an AI-native ITSM platform, including ticket understanding, knowledge extraction, workflow automation, and predictive insights. The role requires strong Python and ML engineering skills, experience with modern ML frameworks and MLOps, and a bachelor’s or master’s degree in a relevant field.

160k – 230k/yr
On-siteML Engineering

About the role

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 with the core platform.
  • Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) for IT knowledge and workflow automation.
  • Partner with engineers and product managers to define AI-first features.
  • Evaluate performance and optimize models for reliability, scalability, and cost-efficiency.
  • Stay current with 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.
  • Experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience with one or more of natural language processing (NLP), large language models (LLMs), information retrieval, graph machine learning, 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.

Nice-to-haves

  • Experience applying AI in enterprise software or IT service management (ITSM) contexts.

Compensation and Benefits

  • Competitive compensation, equity, and benefits package.
  • Opportunity to build foundational product features for an AI-first enterprise platform.
  • Ownership of critical systems designed to scale to millions of users.
  • Culture emphasizing craftsmanship, autonomy, and technical excellence.
  • On-site work five days per week from the Flatiron District, Manhattan office.

Skills

PythonPyTorchTensorFlownatural language processingLLMsinformation retrievalgraph machine learningtime-series forecastingMLOpsmodel versioningmodel deploymentmodel monitoringEmbeddingsretrieval-augmented generationit service management

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