What we’re looking for

We’re looking for an ML Engineer with 4–8 years of experience building and owning production AI and ML systems used by real people. You’re comfortable working with traditional ML and you’ve shipped systems with clear quality metrics and business impact. You have strong judgment around evaluation and know how to measure what actually matters when considering product priorities. Experience with large-scale retrieval, ranking, NLP, or personalization systems is a plus.

What you’ll do

Research and build AI/ML systems that power matchmaking, ranking, and automation across the Paraform marketplace.
Own model development end-to-end, from data collection and labeling strategies to deployment, monitoring, and iteration in production.
Partner with product, AI engineers, and full-stack teams to ship systems that directly move marketplace metrics.
Build and maintain robust evaluation frameworks to continuously measure quality, bias, reliability, and business impact.
Set technical direction and best practices for AI/ML at Paraform.
Work with other engineers and raise the bar for how AI systems are designed, shipped, and maintained.

About Paraform:

Paraform is a marketplace modernizing one of the largest and most fragmented markets in the world: hiring. We partner with industry leaders like Cursor, Palantir, Windsurf, Decagon, Shopify, Coinbase, and Hightouch to hire world-class talent, and are growing quickly - 8×-ing revenue last year.

Paraform is the first end-to-end AI recruiting marketplace that connects companies with thousands of specialized recruiters and AI agents that work together to fill roles faster and more accurately.

Our mission is to make hiring fast, reliable, and scalable for every company in the world.

At Paraform, we believe recruiting works best when the right people are working on the right problems, combining human judgment with AI that truly understands hiring. That’s why we’re building a new foundation for how companies hire, bringing together specialized recruiters and modern AI tools.

We treat recruiters like entrepreneurs, not vendors – and we’re building the financial, operational, and technical infrastructure that powers their success.

We are backed by the best investors and technology leaders: Felicis, A*, BOND, Liquid 2, DST Global, the founders of YouTube, Instacart, Canva, and more.

Applied ML Engineer