I will add that running your own private LLM is complicated and costly; and that private LLM (at this point) will not be as capable as GPT-4. So while running a private LLM will certainly be the right solution for some, Cape's offering makes improved privacy available to many.
Cape Privacy | Software Engineers, Data Scientists, and Cryptographers | Remote (US and Canada) | capeprivacy.com
Cape Privacy enables businesses to run predictive ML models on encrypted data. Cape's innovative platform combines advanced machine learning and secure multi-party computation to ensure data privacy and increase business value.
Cape Privacy is a venture funded, fully remote, growing startup, with team members in the US, Canada, and Europe. We take pride in our work; foster a culture of collaboration, integrity, and humility; practice continuous improvement; and we take care of our customers.
Cape Privacy | Senior Software Engineer; Privacy Research Engineer | Remote (US and Canada) | capeprivacy.com
Cape Privacy builds a SaaS-based encrypted learning platform so companies can enhance their machine learning models while preserving data privacy. Cape's innovative platform combines advanced machine learning and secure multi-party computation to ensure privacy as data scientists leverage third-party data to improve models and increase business value.
Cape Privacy is a venture funded, fully remote, growing startup, with team members in the US, Canada, and Europe. We take pride in our work; foster a culture of collaboration, integrity, and humility; practice continuous improvement; and we take care of our customers.
Cape Privacy | Senior Software Engineer; Privacy Research Engineer | Remote (US and Canada) | capeprivacy.com
Cape Privacy builds a SaaS-based encrypted learning platform so companies can enhance their machine learning models while preserving data privacy. Cape's innovative platform combines advanced machine learning and secure multi-party computation to ensure privacy, as data scientists leverage third-party data to improve models and increase business value.
Cape Privacy is a venture funded, fully remote, growing startup, with team members in the US, Canada, and Europe. We take pride in our work; foster a culture of collaboration, integrity, and humility; practice continuous improvement; and we take care of our customers.
Cape Privacy | Senior Software Engineer; Privacy Research Engineer | Remote (US and Canada) | capeprivacy.com
Cape Privacy builds a SaaS-based encrypted learning platform so companies can enhance their machine learning models while preserving data privacy. Cape's innovative platform combines advanced machine learning and secure multi-party computation to ensure privacy as data scientists leverage third-party data to improve models and increase business value.
Cape Privacy is a venture funded, fully remote, growing startup, with team members in the US, Canada, and Europe. We take pride in our work; foster a culture of collaboration, integrity, and humility; practice continuous improvement; and we take care of our customers.
OmniSci | San Francisco, CA and Vancouver, BC | Back End Developer, Front End Developer | ONSITE/REMOTE
OmniSci (https://www.omnisci.com) is a venture funded Series C startup company that builds a software platform for doing accelerated analytics of massive data sets. Our product features a lightning-fast open-source GPU-accelerated database and a visual analytics platform that leverages the massive parallelism and high memory bandwidth of GPUs. We can run queries against massive data sets orders of magnitude faster than other systems, and we can efficiently visualize the result sets with the native GPU rendering pipeline. Check out our 350-million-record Tweetmap demo (http://www.omnisci.com/demos/tweetmap) or our 11.6-billion-record ships demo (https://www.omnisci.com/demos/ships) for an idea of what the system can do.
We’re looking for:
- Back End Developer: Engineers with strong experience in C++ and database/systems programming. Knowledge of CUDA/OpenCL, LLVM, X64 Optimization, and/or OpenGL are a major plus.
- Front End Developer: Engineers with strong experience in JavaScript and React/Redux. Ideal candidate has good design sense and a data visualization background.
OmniSci | San Francisco, CA | Back End Developer, Front End Developer | ONSITE/REMOTE
OmniSci (https://www.omnisci.com) is a venture funded Series C startup company that builds a software platform for interactive analytics of big data. Our product features a lightning-fast open source GPU-accelerated database and visual analytics platform that leverages the massive parallelism and high memory bandwidth of GPUs. We can run queries against big data sets orders of magnitude faster than other systems, and since the results are on the GPUs, we can efficiently visualize the result sets with the native GPU rendering pipeline. Check out our 350-million-record Tweetmap demo (http://www.omnisci.com/demos/tweetmap) or our 11.6-billion-record ships demo (https://www.omnisci.com/demos/ships) for an idea of what the system can do.
We’re looking for:
- Back End Developer: Engineers with strong experience in C++ and database/systems programming. Knowledge of CUDA/OpenCL, LLVM, X64 Optimization, and/or OpenGL are a major plus.
- Front End Developer: Engineers with strong experience in JavaScript and React/Redux. Ideal candidate has good design sense and a data visualization background.
OmniSci | San Francisco, CA | Back End Developer, Front End Developer
OmniSci (https://www.omnisci.com) is a venture funded Series C startup company that builds a software platform for interactive analytics of big data. Our product features a lightning-fast open source GPU-accelerated database and visual analytics platform that leverages the massive parallelism and high memory bandwidth of GPUs. We can run queries against big data sets orders of magnitude faster than other systems, and since the results are on the GPUs, we can efficiently visualize the result sets with the native GPU rendering pipeline. Check out our 350-million-record Tweetmap demo (http://www.omnisci.com/demos/tweetmap) or our 12-billion-record ships demo (https://www.omnisci.com/demos/ships) for an idea of what the system can do.
We’re looking for:
- Back End Developer: Engineers with strong experience in C++ and database/systems programming. Knowledge of CUDA, LLVM, and X64 Optimization are a major plus.
- Front End Developer: Engineers with strong experience in JavaScript and React/Redux. Ideal candidate has good design sense and a data visualization background.
OmniSci | San Francisco, CA | Back End Developer, Front End Developer | ONSITE/REMOTE
OmniSci (https://www.omnisci.com) is a venture funded Series C startup company that builds a software platform for interactive analytics of big data. Our product features a lightning-fast open source GPU-accelerated database and visual analytics platform that leverages the massive parallelism and high memory bandwidth of GPUs. We can run queries against big data sets orders of magnitude faster than other systems, and since the results are on the GPUs, we can efficiently visualize the result sets with the native GPU rendering pipeline. Check out our 350-million-record Tweetmap demo (http://www.omnisci.com/demos/tweetmap) or our 11.6-billion-record ships demo (https://www.omnisci.com/demos/ships) for an idea of what the system can do.
We’re looking for:
- Back End Developer: Engineers with strong experience in C++ and database/systems programming. Knowledge of CUDA/OpenCL, LLVM, X64 Optimization, and/or OpenGL are a major plus.
- Front End Developer: Engineers with strong experience in JavaScript and React/Redux. Ideal candidate has good design sense and a data visualization background.
OmniSci | San Francisco, CA | Back End Developer, Front End Developer | ONSITE/REMOTE
OmniSci (https://www.omnisci.com) is a venture funded Series C startup company that builds a software platform for interactive analytics of big data. Our product features a lightning-fast open source GPU-accelerated database and visual analytics platform that leverages the massive parallelism and high memory bandwidth of GPUs. We can run queries against big data sets orders of magnitude faster than other systems, and since the results are on the GPUs, we can efficiently visualize the result sets with the native GPU rendering pipeline. Check out our 350-million-record Tweetmap demo (http://www.omnisci.com/demos/tweetmap) or our 11.6-billion-record ships demo (https://www.omnisci.com/demos/ships) for an idea of what the system can do.
We’re looking for:
- Back End Developer: Engineers with strong experience in C++ and database/systems programming. Knowledge of CUDA/OpenCL, LLVM, X64 Optimization, and/or OpenGL are a major plus.
- Front End Developer: Engineers with strong experience in JavaScript and React/Redux. Ideal candidate has good design sense and a data visualization background.
