# Machine Learning Engineer at AI Squared

- Company: AI Squared
- What the company does: Build, deploy, and govern AI inside the systems your teams already use. Zero trust security, agentic workflows, and enterprise-grade governance. Backed by NEA.
- Company website: https://squared.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Washington, DC
- Work setup: On-site
- Posted: 2025-09-23
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/aisquared/jobs/4604010006
- Page: https://www.1752.vc/careers/jobs/ai-squared-machine-learning-engineer/

## About the role

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You’ll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.

## What they're looking for

- 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role
- Proven experience deploying and maintaining machine learning models in production at scale
- Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar)
- Strong proficiency in Python, familiarity with ML frameworks such as PyTorch or TensorFlow
- Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems
- Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling

Tags: Engineering