Liquid AI · San Francisco +2 · Remote · Jul 2025
Build data pipelines powering Liquid foundation models across modalities.
Salary not listed
Research EngineersLA
Liquid AI
HiringFrontier labMIT CSAIL spinout building efficient general-purpose AI for cloud to edge.
www.liquid.ai/ ↗CHECKED 21H AGO
Open roles (22)
22 open roles
Liquid AI · San Francisco +2 · Remote · Mar 30
Own enterprise VLM post-training engagements end-to-end from spec to delivery.
Salary not listed
Applied ML EngineeringLiquid AI · San Francisco +1 · Remote · Dec 2025
Build frontier speech-language models for STT, TTS, and speech-to-speech.
Salary not listed
Research ScientistsLiquid AI · San Francisco · Remote · Jul 2025
Build distributed systems powering next-generation Liquid Foundation Models.
Salary not listed
Distributed TrainingLiquid AI · North America l San Francisco, Boston or Remote · Remote · Oct 2
Build outbound motion and automation to scale pipeline generation.
Salary not listed
Account ManagementLiquid AI · San Francisco · Remote · Oct 8
Own the close and build accounting infrastructure for next stage of growth.
Salary not listed
Finance and PlanningLiquid AI · Boston · Remote · Aug 26
Build benchmarks for inference performance and model quality across hardware.
Salary not listed
Inference EngineeringLiquid AI · San Francisco +2 · Remote · Jan 23
Own applied post-training end-to-end for text workloads for enterprise customers.
Salary not listed
Applied ML EngineeringLiquid AI · Boston · Onsite · Sep 27
Serve as dedicated EA to co-founder & CSO leading Liquid’s research agenda.
Salary not listed
Admin and ITLiquid AI · San Francisco +1 · Remote · Sep 12
Lead legal support for development, release and deployment of AI models.
Salary not listed
LegalLiquid AI · Boston · Remote · Oct 10
Build Liquid AI’s life sciences business from early drug discovery work.
Salary not listed
Partnerships and Business DevelopmentLiquid AI · Tokyo · Remote · Jul 29
Own customer AI projects from discovery through production deployment in Japan.
Salary not listed
Research ScientistsLiquid AI · Boston · Remote · Mar 30
Own enterprise recommendation engagements end-to-end from spec to delivery.
Salary not listed
Applied ML EngineeringLiquid AI · San Francisco · Remote · Jul 28
Own reliability of GPU clusters powering foundation model training.
Salary not listed
ML Systems EngineeringLiquid AI · Boston · Remote · Dec 2025
Design novel architectures and training methods for efficient adaptive AI.
Salary not listed
Research EngineersLiquid AI · Tokyo · Remote · Jul 29
Improve Japanese multimodal foundation models used in real deployments.
Salary not listed
Research ScientistsLiquid AI · San Francisco +1 · Remote · Jun 24
Drive product bets end to end from ambiguous idea to product-market fit.
Salary not listed
Product ManagementLiquid AI · San Francisco +2 · Remote · Mar 30
Own applied post-training for LFM2.5-Audio from data generation to delivery.
Salary not listed
Applied ML EngineeringLiquid AI · San Francisco +1 · Onsite · Oct 2
Own revenue end-to-end from first conversation to signed enterprise deal.
Salary not listed
Partnerships and Business DevelopmentLiquid AI · San Francisco · Remote · Jun 10
Own full-cycle hiring across engineering, research, product, GTM, and G&A.
Salary not listed
People and CultureLiquid AI · San Francisco · Remote · Oct 10
Ship reference apps proving small models run live on phones and edge hardware.
Salary not listed
Solutions ArchitectureLiquid AI · San Francisco +2 · Remote · Jul 2025
Ship custom kernels that speed up novel model architectures in real pipelines.
Salary not listed
Performance EngineeringLab profile
About the lab
What they build
- Liquid Foundation Models
- LFM2.5-Audio
Known for
- Efficiency-first foundation models
- Data center to on-device deployment
- Low latency with minimal memory usage
- Liquid Neural Networks architecture
- Privacy-preserving and reliable AI
Key facts
- Spun out of MIT CSAIL