# Member of Technical Staff - Applied ML, RecSys at Liquid AI

- Company: Liquid AI
- What the company does: Liquid AI builds efficient Liquid Foundation Models (LFMs) for on-device, edge, and cloud AI with low latency, privacy, and hardware-aware deployment.
- Company website: https://www.liquid.ai
- Type: Startups (AI role)
- Level: Senior
- Location: Boston
- Work setup: Remote
- Posted: 2026-03-30
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/liquid-ai/2bb55437-1799-4ea9-acc3-f5f86bb492e5
- Page: https://www.1752.vc/careers/jobs/liquid-ai-member-of-technical-staff-applied-ml-recsys/

## About the role

This is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.

## What they're looking for

- Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)
- Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems
- Strong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)
- Experience with large-scale data pipelines for user interaction data and feature engineering
- Proficiency in Python and PyTorch with autonomous coding and debugging ability

Tags: Applied ML