7 months ago

Liquid Labs - Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 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

Industry: AI & Machine Learning

Website

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Liquid AI

7 months ago

Liquid Labs - Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

Industry: AI & Machine Learning

Website