salt-licker

You can run the agents either sandboxed (in kubernetes via kind) or containerless ("free reign", perhaps) on the Linux box, and host them on your tailnet. The desktop app gives you either a chat or terminal interface, and you can access them via the browser (e.g. on mobile), too.

One limitation is that it assumes you're working with a github repo, and each agent session gets its own clone to work with. Feel free to shoot me an email (link in github) with any questions or specific needs and I'd be happy to try to help you.

We’re a hybrid AI + biotech start-up, developing novel deep learning and molecular simulation techniques to predict molecular properties and using them to accelerate the development of new medicines.

We raised a $52M Series A from Andreessen Horowitz + well-respected biotech investors, and have deployed our technology on several internal drug programs as well as multi-target collaborations with Genentech + Lilly ($20M up-front revenue + $670M potential total value), driving discovery progress at a speed rarely seen in the industry. Now we are scaling the team and technology to support many more drug programs in parallel as well as increasingly difficult protein targets.

We currently have a team (https://www.genesistherapeutics.ai/company.html#team) of about 40 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, SingleStore, Jane Street, etc.

We're looking for software engineers (no bio or chem experience expected) to help build flexible production systems to integrate our ML models, molecular simulation platform, and molecular generation techniques into our drug programs. This includes helping build individual algorithmic components, iterating on our chemist-facing model deployment pipeline, and leveraging our autoscaling cluster of thousands of GPUs and tens of thousands of CPUs processing billions of molecules / day.

We're also hiring ML research scientists and computational chemists. Here are all of our open roles: https://jobs.lever.co/genesistherapeutics/

Interview process: 1-2 one-hour technical phone screens, 1 day on-site (optionally virtual) with 3 one-hour technical questions. All these include extra time to chat, answer your questions about Genesis, and meet us. Can go from first email to offer in 2-3 weeks

Tech Stack: python, pytorch, postgres, flask, kubernetes

Please apply on our website, or feel free to reach out via email directly: [email protected]

We’re a hybrid AI + biotech start-up, developing novel deep learning and molecular simulation techniques to predict molecular properties and using them to accelerate the development of new medicines.

We raised a $52M Series A from Andreessen Horowitz + well-respected biotech investors, and have deployed our technology on several internal drug programs as well as multi-target collaborations with Genentech + Lilly ($20M up-front revenue + $670M potential total value), driving discovery progress at a speed rarely seen in the industry. Now we are scaling the team and technology to support many more drug programs in parallel as well as increasingly difficult protein targets.

We currently have a team (https://www.genesistherapeutics.ai/company.html#team) of about 40 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, SingleStore, Jane Street, etc.

We're looking for pure software engineers (no bio or chem experience expected) to help build flexible production systems to integrate our ML models, molecular simulation platform, and molecular generation techniques into our drug programs. This includes helping build individual algorithmic components, iterating on our chemist-facing model deployment pipeline, and leveraging our autoscaling cluster of thousands of GPUs and tens of thousands of CPUs processing billions of molecules / day.

We're also hiring ML research scientists and computational chemists. Here are all of our open roles: https://jobs.lever.co/genesistherapeutics/

Interview process: 1-2 one-hour technical phone screens, 1 day on-site (optionally virtual) with 3 one-hour technical questions. All these include extra time to chat, answer your questions about Genesis, and meet us. Can go from first email to offer in 2-3 weeks

Tech Stack: python, pytorch, postgres, flask, kubernetes

Please apply on our website, or feel free to reach out via email directly: [email protected]

We’re a hybrid AI + biotech start-up, developing novel deep learning and molecular simulation techniques to predict molecular properties and using them to accelerate the development of new medicines.

We raised a $52M Series A from Andreessen Horowitz + well-respected biotech investors, and have deployed our technology on several internal drug programs as well as multi-target collaborations with Genentech + Lilly ($20M up-front revenue + $670M potential total value), driving discovery progress at a speed rarely seen in the industry. Now we are scaling the team and technology to support many more drug programs in parallel as well as increasingly difficult protein targets.

We currently have a team (https://www.genesistherapeutics.ai/company.html#team) of about 40 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, SingleStore, Jane Street, etc.

We're looking for pure software engineers (no bio or chem experience expected) to help build flexible production systems to integrate our ML models, molecular simulation platform, and molecular generation techniques into our drug programs. This includes helping build individual algorithmic components, iterating on our chemist-facing model deployment pipeline, and leveraging our autoscaling cluster of thousands of GPUs and tens of thousands of CPUs processing billions of molecules / day.

We're also hiring ML research scientists and computational chemists. Here are all of our open roles: https://jobs.lever.co/genesistherapeutics/

Interview process: 1-2 one-hour technical phone screens, 1 day on-site (optionally virtual) with 3 one-hour technical questions. All these include extra time to chat, answer your questions about Genesis, and meet us. Can go from first email to offer in a week or two

Tech Stack: python, pytorch, postgres, flask, kubernetes

Please apply on our website, or feel free to reach out via email directly: [email protected]

We’re a hybrid AI + biotech start-up, developing novel deep learning and molecular simulation techniques to predict molecular properties and using them to accelerate the development of new medicines.

We raised a $52M Series A from Andreessen Horowitz + well-respected biotech investors, and have deployed our technology on several internal drug programs as well as multi-target collaborations with Genentech + Lilly ($20M up-front revenue + $670M potential total value), driving discovery progress at a speed rarely seen in the industry. Now we are scaling the team and technology to support many more drug programs in parallel as well as increasingly difficult protein targets.

We currently have a team (https://www.genesistherapeutics.ai/company.html#team) of about 40 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, SingleStore, Jane Street, etc.

We're looking for pure software engineers (no bio or chem experience expected) to help build flexible production systems to integrate our ML models, molecular simulation platform, and molecular generation techniques into our drug programs. This includes helping build individual algorithmic components, iterating on our chemist-facing model deployment pipeline, and leveraging our autoscaling cluster of hundreds of GPUs and thousands of CPUs processing billions of molecules / day.

We're also hiring ML research scientists and computational chemists. Here are all of our open roles: https://jobs.lever.co/genesistherapeutics/

Interview process: 1-2 one-hour technical phone screens, 1 day on-site (optionally virtual) with 3 one-hour technical questions. All these include extra time to chat, answer your questions about Genesis, and meet us. Can go from first email to offer in a week or two

Tech Stack: python, pytorch, postgres, flask, kubernetes

Please apply on our website, or feel free to reach out via email directly: [email protected]