DatologyAI

About the Company

DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.

Listed Jobs

Company Name

DatologyAI

Job Title

Software Engineer Intern, Infrastructure (Fall 2026)

Job Description

Job Title: Software Engineer Intern, Infrastructure (Fall 2026) Role Summary: Assist in designing, building, and maintaining large‑scale distributed data curation and model training systems. Contribute to production‑grade infrastructure, internal tooling, automation, deployment, and observability across multi‑cloud and on‑prem environments. Expectations: * Own meaningful projects that impact production reliability and developer productivity. * Deliver clean, scalable code reviewed by senior engineers. * Demonstrate rapid learning of new technologies and effective collaboration with research and engineering teams. Key Responsibilities: 1. Develop and enhance internal tools to accelerate developer workflow and system reliability. 2. Prototype components of distributed training and data infrastructure. 3. Implement automation, CI/CD pipelines, and observability solutions. 4. Deploy and manage services on multi‑cloud (AWS/Azure/GCP) and on‑prem clusters. 5. Participate in code reviews, architectural discussions, and documentation. 6. Collaborate with researchers to transition new ML infrastructure features to production. Required Skills: * Strong programming in Python, Go, or C++. * Proficiency with Linux, Docker, Kubernetes, or equivalent container orchestration. * Familiarity with cloud services (AWS, Azure, GCP) and distributed systems concepts. * Experience in system design, scalability, reliability, and performance optimization. * Effective communication, detail orientation, and ability to work independently on complex problems. Required Education & Certifications: * Enrolled in a BS, MS, or PhD program in Computer Science, Electrical Engineering, or related field (current or expected graduation 2026). * No specific certifications required.

Redwood city, United states

Hybrid

Fresher

04-02-2026