Infrastructure Engineer
NeoSigma
Infrastructure Engineer
NeoSigma
Autonomous ML engineer automating ML workflows
About Us
NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.
We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at MIT, Parallel Web, Essential AI, Apple, and Amazon.
We are backed by world-class investors and leaders from Google DeepMind, OpenAI, Decagon and others.
The Role
We are looking for a Infrastructure Engineer to build and scale the foundation that powers NeoSigma's AI platform. You will work across cloud infrastructure, deployment automation, security, observability, and enterprise deployments. Some weeks you'll be deep in Kubernetes, Terraform, and platform reliability. Other weeks you'll partner with enterprise customers to ship secure, production-ready deployments and the infrastructure that enables AI systems to run at scale.
What you'll do
What we look for
Our Core Values
Benefits and perks
As a founding member, you’ll help define the technical foundation of NeoSigma. Your scope will grow with the company, from owning core systems end-to-end to shaping architecture, hiring, and engineering culture. This role has a natural path toward technical leadership or engineering management as the team scales.
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NeoSigma builds an AI product lab behind an intelligent automation layer called NEO. NEO acts as an autonomous ML engineer that handles the full machine learning workflow: data science tasks, model training, fine-tuning large language models, building retrieval-augmented generation pipelines, running evaluations, and deploying production-ready AI systems. It works by using multiple agents in parallel inside a GPU sandbox to run hundreds of experiments, measure their performance against targets, and pick the best models. Users can interact with NEO via a chat interface to guide exploration and provide context. NeoSigma can fix training pipelines, add new AI features to existing projects, and check for data leakage in pipelines. The goal is to connect customers, products, and AI systems by delivering automated, end-to-end ML development that speeds up building and deploying AI-powered products.
Explore more opportunities at NeoSigma