Machine Learning Infrastructure Engineer

Join an innovative AI start-up on an exciting journey to develop an AI Agent for Analytics, specifically designed to empower Data Scientists.

This is a unique opportunity to become part of a Series A start-up founded by former Uber leaders. You will be instrumental in building the machine learning infrastructure that drives a product aiming to expedite Data Science tasks. As an early member of the founding team, your contributions will shape key decisions on product direction and scalability.

Position Overview:

Your role will be vital in supporting the company's growth through enhancements in performance and efficiency. As a key early hire in the ML Infra team, you will develop platforms that allow scientists, researchers, and developers to run machine learning jobs efficiently and at scale, while orchestrating solutions that manage vast quantities of data throughout their lifecycle.

Responsibilities:

Design robust solutions for handling large-scale data through various stages including ingestion, indexing, transformation, machine learning, and deployment.

Create platforms that enable researchers and developers to execute ML jobs swiftly and effectively.

Establish a streamlined CI/CD framework that empowers teams to manage testing, deployment, and operations independently.

Lead collaborative initiatives to align cross-functional teams on shared technologies and best practices.

Required Experience:

Strong proficiency in multiple programming languages such as Python, Rust, C++, Go, or Java.

Proven experience in deploying and managing reliable cloud-based systems.

Expertise in designing service-oriented architectures and working with diverse data storage solutions.

A passion for developing exceptional and innovative products.

A growth mindset with a commitment to continuous learning and self-improvement.

Benefits:

Attractive equity options.

Competitive salary ranging from $180K to $220K, plus benefits.

Flexible hybrid work arrangements.