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Member of Technical Staff - Applied ML, RecSys

Liquid AI· Applied ML
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Hybrid (Boston)Full-timePosted 6mo ago

About the role

Applied ML engineer focusing on end-to-end ownership of enterprise recommendation and ranking engagements, adapting foundation models for personalized, production-ready systems at scale.

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 (e.g., HSTU-style architectures) for customer-specific use cases
  • Design task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret results
  • Build reusable applied tooling and workflows that accelerate future customer engagements

Qualifications

  • 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

Skills

Required:Recommendation model developmentSequential modelingData pipelinesPythonPyTorch

Benefits

  • Real ML work: large-scale recommendation models for enterprise with frontier architectures like HSTU under production constraints
  • Competitive base salary with equity in a unicorn-stage company
  • Health: 100% paid 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 throughout the year
Last updated Jul 15, 2026. Interested? Apply on the company site.
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About Liquid AI

Build efficient general-purpose AI at every scale.

We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.

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