# AI Engineer

**Company:** [Standard Template Labs](https://hotfix.jobs/companies/standard-template-labs)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $160k – $230k/yr
**Skills:** Python, PyTorch, TensorFlow, natural language processing, LLMs, information retrieval, graph machine learning, time-series forecasting, MLOps, model versioning, model deployment, model monitoring, Embeddings, retrieval-augmented generation, it service management
**Posted:** 2025-09-16

> 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.

## Job Description

## 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.

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