Liquid AI

Liquid AI

Liquid Labs - Research Engineer

Boston

Sponsorship not specifiedDetected 317 days ago
PythonMachine LearningTensorFlowPyTorchResearch

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odds of building a lasting career here

36Risky
Cap-exempt (no lottery)0
Sponsors this role74
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 22 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • As a Research Engineer, you'll join a small, high-context team exploring the limits of adaptive intelligence.

Responsibilities

  • As a Research Engineer, you'll join a small, high-context team exploring the limits of adaptive intelligence. You'll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do.
  • You'll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do.
  • Care about efficiency, scalability, and elegant system design as scientific principles
  • Liquid Labs is for researchers who build.

Skills

  • Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
  • Have experience in machine learning research or production-grade ML systems
  • Move fast from paper to prototype - curiosity backed by precision
  • Value small, deep-technical teams where impact is immediate and measurable

Company info

  • At Liquid Labs, we extend that lineage - pushing forward the frontier of efficient, adaptive intelligence through both fundamental research and practical engineering.

This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.