Jobs at Spector.AI

Own the Platform frontend and backend, design data models, APIs and services for industrial assets, build performant, data-dense UIs, review code, make technical tradeoffs, collaborate with partners, and mentor teammates while iterating quickly.

Own the end-to-end operational lifecycle of ML and LLM systems: build CI/CD for training and serving, deploy and maintain models, run monitoring/drift detection, operate LLM workflows (prompt versioning, evaluation, guardrails), and ensure reproducibility, reliability, and security across cloud, on-prem, and edge environments.

Lead initiatives to enhance the ML platform, mentor junior engineers, build scalable ML models, and ensure code quality while driving innovation in a startup environment.

The Senior Machine Learning Engineer will lead the development of a GenAI platform, enhance AI infrastructure, mentor junior engineers, and drive project ownership in a startup environment.

The Machine Learning Engineer will develop and innovate ML models and their infrastructure, collaborate, mentor, and take ownership of impactful projects.

We are seeking a hands-on DevOps Engineer with 5+ years of experience to manage cloud infrastructure, CI/CD pipelines, and security best practices in a seed-stage startup environment.