Global AI MapLFM ↗
Official project, model family or research program. Follow the source for versions, releases and terms.
United States / AI lab
Liquid AI
◎ Cambridge, United States
Liquid AI develops LFM models.
Key outputs
People & contributors
- Ramin Hasani ↗FounderSOURCE ↗
- Mathias Lechner ↗FounderSOURCE ↗
- Alexander Amini ↗FounderSOURCE ↗
- Daniela Rus ↗FounderSOURCE ↗
Roles are tied to the linked sources. Paper authors are credited as contributors, which does not establish current employment.
Presentations & demonstrations
2m18sIntroducing LFM3: Every Modality for Specialized Intelligence
1m300,000+ LFM3 Agents Investigate the Enron Emails
1m44sOn-Device Agents Running 24/7: LFM2.5-2.6B Plans a Wedding Trip
6m58sLiquid AI CEO Ramin Hasani Announces New LFM Products at CES 2026 Opening Keynote with Lisa Su
Films are credited to their original channels. Selected presentations may include independent interviews and technical explanations.
Open jobs
EXPLORE ↗Controller ↗
Liquid AIThe Controller role involves owning the close process, setting technical accounting positions, and architecting controls for a unicorn-stage AI company. Candidates must have 12+ years of progressive accounting experience, deep technical judgment in ASC 606 and ASC 718, and experience implementing ERP systems.
Developer Relations ↗
Liquid AIThis Developer Relations role requires a hands-on technical voice to build reference apps and content for edge AI and small models. Candidates must have production LLM experience, fluency with PyTorch and Hugging Face, and a public portfolio of technical communication.
Liquid Labs - Research Engineer ↗
Liquid AIThe Research Engineer role involves designing and implementing novel AI architectures, training methods, and inference strategies within Liquid Labs. Candidates must have experience in machine learning research or production systems and a track record of publications in tier-1 venues.
Member of Go-to-Market Staff ↗
Liquid AIThis role involves building Liquid AI's outbound motion and automation layer to generate qualified pipeline and scale pipeline generation. Candidates must have 4-6 years of B2B GTM experience, including early-stage company work and direct accountability for revenue.
Member of Recruiting Staff - Technical Recruiter ↗
Liquid AIThe role involves owning technical searches end-to-end for product, applied ML, and infrastructure roles at Liquid AI. Candidates must have full-cycle recruiting experience, strong sourcing skills, and the ability to learn technical domains quickly.
Member of Technical Staff - Applied ML, Japanese Multimodal ↗
Liquid AIThis role involves owning applied ML projects for Japanese customers, from technical discovery to production deployment. The engineer must optimize model inference for latency and memory while building robust software and evaluation systems.
Member of Technical Staff - Applied ML, RecSys ↗
Liquid AIThis role involves owning end-to-end applied ML work for enterprise recommendation system engagements, including model adaptation, evaluation, and deployment. Candidates must have hands-on experience building sequential recommendation models at scale and proficiency in Python and PyTorch.
Member of Technical Staff - Distributed Training Engineer ↗
Liquid AIThe role involves designing and building distributed training infrastructure for GPU clusters to optimize large-scale model training. Candidates must have hands-on experience with PyTorch Distributed, DeepSpeed, or Megatron-LM and expertise in diagnosing performance bottlenecks.
Member of Technical Staff - GPU Performance Engineer ↗
Liquid AIThe role involves designing and shipping custom CUDA kernels to optimize GPU performance for AI training and inference pipelines. Candidates must have strong C/C++ skills, proficiency with low-level profiling tools like Nsight, and a deep understanding of GPU architecture and memory hierarchies.
Member of Technical Staff - Inference Systems ↗
Liquid AIThe role involves designing and building benchmark suites for inference performance and model quality across various hardware targets. Candidates must have hands-on experience with inference frameworks like llama.cpp, ONNX, or MLX, along with strong C++ and Python skills for performance-sensitive contexts.
Member of Technical Staff - ML Research Engineer, Pre-Training Data ↗
Liquid AIThe role involves joining the Pre-Training Data team to source, filter, and synthesize datasets for Liquid Foundation Models. Candidates must have deep hands-on experience in pre-training data work, production pipeline development, and running experiments to measure data impact on model quality.
Member of Technical Staff - ML Scientist, Japanese Multimodal ↗
Liquid AIThe role involves improving Liquid Foundation Models for Japan through post-training strategies, data curation, and rigorous experimentation. Candidates must have hands-on experience with modern language or multimodal models, strong engineering skills, and the ability to collaborate with global teams.
Member of Technical Staff - Multi-Modal, Audio ↗
Liquid AIThis role involves building production-grade audio models for STT, TTS, and speech-to-speech on-device systems. Candidates must own data pipelines, evaluation systems, and customer deployments while writing clean, maintainable code.
Member of Technical Staff - Post Training, Applied ↗
Liquid AIThis role involves owning end-to-end applied post-training projects for text workloads, including data generation, fine-tuning, and evaluation. Candidates must have hands-on experience with LLM post-training methods such as SFT, RLHF, and DPO, along with proficiency in the open-source ML ecosystem.
Member of Technical Staff - Post Training, Applied (Audio) ↗
Liquid AIThis role involves owning end-to-end applied post-training projects for LFM2.5-Audio, focusing on function calling and customer deployment. Candidates must have hands-on experience with post-training techniques like SFT and RL, along with strong skills in data generation and evaluation pipelines.
Member of Technical Staff - Post Training, Applied (Vision) ↗
Liquid AIThis role involves owning end-to-end post-training projects for vision-language models for enterprise customers. Candidates must have hands-on experience with VLM fine-tuning, data generation, and multimodal evaluation.
Office Manager & Executive Assistant ↗
Liquid AIThe role involves managing Boston office operations, vendors, and budgets while serving as Executive Assistant to the Co-Founder and Chief Science Officer. Candidates must demonstrate experience in facilities operations, event planning, and executive support with strong organizational skills.
Product Manager ↗
Liquid AIThe role involves driving product experiments from idea to product-market fit by working closely with ML and engineering teams. Candidates must have hands-on ML or applied LLM experience and the ability to prototype using AI and coding tools.
Strategic Business Development ↗
Liquid AIThe role is a full-time strategic business development lead responsible for driving enterprise partnerships and revenue for Liquid AI's foundation models. Candidates must have 10+ years of experience in strategic business development or partnerships at technology companies, with high technical fluency and a track record of closing complex deals.
Strategic Business Development, Life Sciences ↗
Liquid AIThe role is a strategic business development lead responsible for building life sciences partnerships and revenue with pharmaceutical and biotech organizations. Candidates must have 10+ years of experience in business development within life sciences technology and possess high technical fluency to drive scientific conversations.
Current official-feed vacancies. Follow each job for its complete description and application terms.
Sources & public activity
- www.liquid.ai/ ↗
- www.liquid.ai/blog/liquid-foundation-models-our-first-series-of-generative-ai-models ↗
- www.liquid.ai/company ↗
Profile reviewed 2026-10-30. City-level approximate marker; not a lab street address.