Liquid Labs - Research Engineer

Liquid AI
Cambridge, Boston
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Problem-solving","Collaboration","Curiosity","Teamwork"]

Research Engineer at Liquid Labs combines research and engineering to design novel architectures, training methods, and inference strategies for efficient adaptive AI. You’ll work in a small, technically focused team, translating scientific ideas into deployed systems, publishing when it advances the field, and collaborating with model and systems teams across the United States.

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FursaFursa
Liquid AI
Liquid AI
9 months ago

Liquid Labs - Research Engineer

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Last checked: 7 hours agoStatus: Live

Job Summary

Research Engineer at Liquid Labs combines research and engineering to design novel architectures, training methods, and inference strategies for efficient adaptive AI. You’ll work in a small, technically focused team, translating scientific ideas into deployed systems, publishing when it advances the field, and collaborating with model and systems teams across the United States.
Location: Cambridge, Boston
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design and implement novel architectures, training methods, and inference strategies for adaptive intelligence.
  • •Translate scientific ideas into working systems and deploy where impact is tangible.
  • •Collaborate with Liquid’s core foundation model and systems teams to accelerate practical AI capabilities.
  • •Publish technical reports and architectural deep dives to advance the field while delivering production-ready systems.
  • •Contribute to a small, high-context team that values efficiency, rigor, and measurable impact.

Key Requirements

  • •Proficient in Python and ML frameworks (PyTorch, JAX, or TensorFlow)
  • •Experience in machine learning research or production-grade ML systems
  • •Ability to move from paper to prototype with precision and curiosity
  • •Interest in efficiency, scalability, and clean system design
  • •Track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent)
Experience:Machine learningAIResearch
Skills:CommunicationProblem-solvingCollaborationCuriosityTeamwork
Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Liquid AI
Builds AI infrastructure and tooling to enable real-time, distributed machine learning and orchestration across edge and cloud environments, simplifying deployment and management of intelligent applications.
Industry: AI & Machine Learning
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