AirPods Pro noise cancellation almost definitely gave me temporary tinnitus after a few months of usage even though I never listened to music that loud. Switched to regular AirPods two years ago and the tinnitus entirely went away.
Same here, just having ANC enabled without any audio for 1-2 hours and tinnitus is clearly noticeable. For that reason I’ve discarded all AirPods Pro in my family
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.
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
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.
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
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.
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
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.
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
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 (FKA MemSQL), 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.
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
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 30 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 (FKA MemSQL), 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.
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
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 30 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 (FKA MemSQL), 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.
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
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 a multi-target collaboration with Genentech, 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 30 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 (FKA MemSQL), 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.
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
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 a multi-target collaboration with Genentech, 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) of about 30 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 (FKA MemSQL), 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.
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
