Member of Technical Staff, Rabbit
Applied AI Engineering
$170-250k
Natural language-based operating system
Job no longer available
Natural language-based operating system
21-100 employees
Job no longer available
$170-250k
21-100 employees
Company mission
To create a world of new possibilities, bridging the gap between human and machine.
Role
Who you are
- Experience working with pre-trained language models: pretraining, fine-tuning, prompting
- Experience writing concurrent, asynchronous, and parallel applications
- Experience with streaming and pipelining techniques
- Experience with low-latency speech recognition and synthesis techniques
- Experience training and configuring natural language processing pipelines
- Experience solving problems in computer vision: retrieval, segmentation, tracking, identification
- Experience writing evals for conversational AI systems
- Experience designing scalable, AI-service-driven systems
- Experience with real-time communication protocols including WebSocket, WebRTC, etc
What the job involves
- The applied AI team at rabbit builds rabbit OS, the core AI experiences that power our form factors and products
- Unlike legacy systems, rabbit OS is neural-network-first (hence nondeterministic), highly reconfigurable, and massively concurrent
- Developing, monitoring, and scaling them presents new types of challenges from infrastructure, research, and software development
- You will help build, improve, and collaborate with our partners on various applied AI workloads in our cloud environment and sometimes on-device
- These range from our Large Action Model (LAM), speech recognition and synthesis, LLM-based natural language processing and conversational intelligence, to computer vision, and more
- Optimize Rabbit OS response latency across clients and geographical regions
- Monitor and optimize key performance metrics for the end-to-end experience in Rabbit OS, ranging from speech recognition, intention understanding, actions delegated to the LAM, to long-term memory
- Expand the capabilities of rabbit OS, enabled by advances from our research team on LAM
- Develop evaluation framework and evaluations for the conversational system behind rabbit OS, observing and improving for accuracy, conciseness, helpfulness, and safety
- Collaborate with our cloud team to integrate various workloads into rabbit OS
- Develop models, from data collection, training to deployment, for both cloud and on-device functionalities
Our take
Typically, the operating systems used in personal computers are limited in their understanding - relying on commands and unable to make sense of requests made in natural language. Rabbit hopes to change this, with an operating system that is capable of taking natural language requests and returning intelligent responses.
The system, which will sit between a user and any operating system, is powered by a Large Action Model (LAM) that is built to understand human intention. It translates requests into actionable steps for the OS, allowing it to achieve objectives in a more "humanizing" way, and act more like a virtual assistant than a classic operating system.
Existing in an increasingly crowded space, the company will no doubt have to contend with rivals, though the co-founders seem confident that it can stand out because of its "sophisticated" approach. Rabbit has seen good funding, and has many plans on the table including building a testing framework for the model, and releasing dedicated hardware to host its platform.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Dec 2023
$10m
SERIES A
Oct 2023
$20m
EARLY VC
Total funding: $36m
Company HQ
Little Tokyo, Los Angeles, CA
Leadership
Jesse Lyu
(Co-Founder & CEO)Previously founded timeet and Raven Tech where they served as the CEO. They also worked as a General Manager at Baidu.
Justin Oren
(Co-Founder & COO)Co-founded rabbit in 2020 and has served as the COO since.
Dan Ferris
(Co-Founder & CSO)Was part of the Investment Committee at CAA Ventures, and worked in Business Development at Creative Artists Agency.
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