Member of Technical Staff - Applied ML, RecSys

About the Company

Spun out of MIT CSAIL, Liquid AI builds general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability.

Responsibilities

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads
• Translate customer requirements into concrete specifications for recommendation models
• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale
• Fine-tune and adapt large-scale sequential recommendation models for customer-specific use cases
• Design task-specific evaluations for recommendation model performance and interpret results
• Build reusable applied tooling and workflows that accelerate future customer engagements

Requirements

• Hands-on experience building or fine-tuning recommendation models at scale
• Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems
• Strong intuition for data quality and evaluation design in recommendation contexts
• Experience with large-scale data pipelines for user interaction data and feature engineering
• Proficiency in Python and PyTorch

Preferred Qualifications

• Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)
• Experience delivering recommendation systems to external customers with measurable business outcomes
• Familiarity with serving recommendation models under latency and throughput constraints

Benefits

• Competitive base salary with equity
• 100% medical, dental, and vision premiums for employees and dependents
• 401(k) matching up to 4% of base pay
• Unlimited PTO plus company-wide Refill Days