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.
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
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 $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/#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. See the full job description here: https://jobs.lever.co/genesistherapeutics/e76a97f1-1157-4bb7...
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 $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/#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. See the full job description here: https://jobs.lever.co/genesistherapeutics/e76a97f1-1157-4bb7...
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 $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/#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. See the full job description here: https://jobs.lever.co/genesistherapeutics/e76a97f1-1157-4bb7...
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 $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 programs in parallel as well as increasingly difficult protein targets.
We currently have a team (https://www.genesistherapeutics.ai/#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, MemSQL, Jane Street, etc.
We're looking for pure software engineers (no bio or chem experience expected) to help scale our cloud infrastructure and build internal tools for our ML and chemistry teams. We have an autoscaling cluster of hundreds of GPUs and thousands of CPUs processing billions of molecules / day, with a spiky, heterogeneous workload of deep learning training + evaluation as well as molecular simulation. See the full job description here: https://jobs.lever.co/genesistherapeutics/e76a97f1-1157-4bb7...
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
Which contribute to a chip shortage making cars more expensive, seemingly pure financial instruments directly causing inflation for everyday people, there is no escape
I often wonder if being too close to the experimental results and current techniques blinds some people from seeing the bigger picture. Gwern certainly seems good at analyzing large-scale trends in AI research, perhaps broad high-level knowledge of the field is advantageous for this vs deep understanding of specific neural network details.
Do you consider gwern not to be an AI expert? I think this is a reasonably technical explanation of how we may not be as far away from AGI as some choose to believe: https://www.gwern.net/Scaling-hypothesis
We’re a hybrid AI + biotech start-up, developing novel graph neural networks to predict molecular properties and using them to accelerate the development of new medicines.
We're looking for a strong infrastructure engineer, who will take over the lead responsibility for scaling our model training infrastructure within Google Cloud Platform as well as developing our own physical colocated cluster.
Also looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required.
- We currently have a small team of excellent ML + software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook, Google, Dropbox, Memsql, Jane Street
- In addition to strong software + ML talent, our small team has top drug discovery chemists who have collectively discovered several FDA-approved drugs before
Interview process: 1-2 one-hour technical phone screens, 1 day on-site (now 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
Julia’s type system is not particularly user-friendly. For example, it has both a “String” and a “SubString” type which cannot always be interchanged. Their language design seem to be much more concerned with execution speed than programmer productivity — Python has the balance in the opposite direction, but they’ve been gradually improving performance for years, and this is much easier to improve after the language design is set in stone, especially as more and more people add typing info to their programs.