
About Liquid AI
Efficient AI for a smarter future
Key Highlights
- Headquartered in Cambridge, Massachusetts
- 200+ employees with expertise in AI/ML
- Specializes in Liquid Foundation Models (LFMs)
- Focus on reducing computational overhead for AI solutions
Liquid AI, headquartered in Cambridge, Massachusetts, specializes in general-purpose artificial intelligence through its innovative Liquid Foundation Models (LFMs). These models are designed to deliver high performance while significantly reducing memory and computing resource requirements, making a...
π Benefits
Employees enjoy competitive salaries, equity options, generous PTO policies, and opportunities for remote work. Liquid AI also offers a learning budge...
π Culture
Liquid AI fosters a culture of innovation and efficiency, focusing on optimizing AI capabilities while minimizing resource usage. The company values c...
Skills & Technologies
Overview
Liquid AI is hiring a Research Engineer to explore the limits of adaptive intelligence. You'll design and implement novel architectures and training methods. This position requires fluency in Python.
Job Description
Who you are
You have a strong background in research and engineering, with a focus on adaptive intelligence. You work fluently in Python and are comfortable translating scientific ideas into practical applications. Your experience includes designing and implementing novel architectures and training methods that push the boundaries of what AI can achieve. You are passionate about building intelligent systems that are both powerful and efficient, and you thrive in collaborative environments where you can contribute to fundamental breakthroughs in AI.
You understand the importance of publishing research that drives the field forward, and you are committed to maintaining high scientific standards. You are not just focused on benchmarks; you aim to redefine them through innovative approaches and practical engineering solutions. You are excited about the opportunity to work in a small, high-context team that values deep thinking and rapid execution.
What you'll do
As a Research Engineer at Liquid Labs, you will join a dedicated team focused on exploring the limits of adaptive intelligence. Your primary responsibility will be to design and implement novel architectures, training methods, and inference strategies that redefine what efficient AI can do. You will operate at the intersection of research and engineering, translating theoretical concepts into working systems that can be deployed in real-world scenarios. You will collaborate closely with Liquidβs core foundation model and systems teams to ensure that your research translates into practical capabilities.
You will also have the opportunity to publish your findings and contribute to the broader AI community, helping to shape the future of intelligent systems. Your work will directly impact the development of scalable, multimodal models that are designed for deployment in resource-constrained environments. You will be part of a culture that values lasting impact and encourages innovative thinking, allowing you to make significant contributions to the field of AI.
What we offer
At Liquid Labs, you will be part of a dynamic team that is committed to pushing the boundaries of AI research and engineering. We offer a collaborative work environment where your contributions will be valued and recognized. You will have the opportunity to work on cutting-edge projects that have the potential to redefine the capabilities of intelligent systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.
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