Microsoft Research is hiring Senior MLE's in Cambridge, MA (ONSITE).
Responsibilities include the training of generative models and anything that contributes to the betterment of their capabilities -- profiling / optimizing their throughput, scaling training runs, tuning of hyperparameters / data mixes, etc. If it makes the model better, it's fair game!
Depending on the project, you will likely be involved in some combination of AR model training, diffusion model training, midtraining, post-training, multimodal training, etc.
As you can likely surmise, we're looking for folks who are flexible and comfortable wearing many hats. If this sounds like you and you're interested in working in a research environment, consider applying!
This is horrendously incorrect. Surgical masks do not filter aerosolized particles at the same effiency as an N95. For an airborn virus, that's a pretty big deal, especially for HCP who are constantly exposed to high viral loads.
The EULA is attached up the drivers. Newer versions of CUDA often require newer drivers, so you bump into the issue regardless of when you buy the GPU.
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA | https://www.ccds.io
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the hardware, translational expertise, and financial support to execute on our mission.
We're expanding aggressively and are hiring across the org. In particular, the ML team will be scaling and is seeking skilled engineers with varying levels of ML experience, from junior roles for those with less time in industry to more senior positions for those who have a proven track record of shipping product. We offer competitive salaries, visa sponsorship, (unsurprisingly) great health benefits, and a mission that you can be proud to describe to friends and family.
If interested, feel free to reach out (contact info in profile). I'm Director of ML for the org and will personally respond to any questions you may have.
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA | https://www.ccds.io
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the hardware, translational expertise, and financial support to execute on our mission.
We're expanding aggressively and are hiring across the org. In particular, the ML team will be scaling and is seeking skilled engineers with varying levels of ML experience, from junior roles for those with less time in industry to more senior positions for those who have a proven track record of shipping product. We offer competitive salaries, visa sponsorship, (unsurprisingly) great health benefits, and a mission that you can be proud to describe to friends and family.
If interested, feel free to reach out (contact info in profile). I'm Director of ML for the org and will personally respond to any questions you may have.
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the HW, translational expertise, and financial support to execute on our mission.
We're hiring for multiple roles on our ML, SW, Product, Data Eng, and Infrastructure teams. If interested, feel free to reach out (contact info in profile).
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA | https://www.ccds.io
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the hardware, translational expertise, and financial support to execute on our mission.
We're expanding aggressively and are hiring across the org. In particular, the ML team will be scaling and is seeking skilled engineers with varying levels of ML experience, from junior roles for those with less time in industry to more senior positions for those who have a proven track record of shipping product. We offer competitive salaries, visa sponsorship, (unsurprisingly) great health benefits, and a mission that you can be proud to describe to friends and family.
If interested, feel free to reach out (contact info in profile). I'm Director of ML for the org and will personally respond to any questions you may have.
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA | https://www.ccds.io
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the hardware, translational expertise, and financial support to execute on our mission.
We're expanding aggressively and are hiring across the org. In particular, the ML team will be scaling and is seeking skilled engineers with varying levels of ML experience, from junior roles for those with less time in industry to more senior positions for those who have a proven track record of shipping product. We offer competitive salaries, visa sponsorship, (unsurprisingly) great health benefits, and a mission that you can be proud to describe to friends and family.
If interested, feel free to reach out (contact info in profile). I'm Director of ML for the org and will personally respond to any questions you may have.
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA | https://www.ccds.io
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the hardware, translational expertise, and financial support to execute on our mission.
We're expanding aggressively and are hiring across the org. In particular, the ML team will be scaling and is seeking skilled engineers with varying levels of ML experience, from junior roles for those with less time in industry to more senior positions for those who have a proven track record of shipping product. We offer competitive salaries, visa sponsorship, (unsurprisingly) great health benefits, and a mission that you can be proud to describe to friends and family.
If interested, feel free to reach out (contact info in profile). I'm Director of ML for the org and will personally respond to any questions you may have.
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA | https://www.ccds.io
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the hardware, translational expertise, and financial support to execute on our mission.
We're expanding aggressively and are hiring across the org. In particular, the ML team will be scaling and is seeking skilled engineers with varying levels of ML experience, from junior roles for those with less time in industry to more senior positions for those who have a proven track record of shipping product. We offer competitive salaries, visa sponsorship, (unsurprisingly) great health benefits, and a mission that you can be proud to describe to friends and family.
If interested, feel free to reach out (contact info in profile). I'm Director of ML for the org and will personally respond to any questions you may have.
While most can learn to ride a bicycle with minimal effort, it turns out the control of an idealized bicycle is actually quite complex and has a storied history. For a brief rundown (and insight into the complexity of the problem), scan through this presentation (pdf warning): http://www.control.lth.se/media/Staff/KarlJohanAstrom/Lectur...
MGH & BWH Center for Clinical Data Science | Boston, MA USA | ONSITE, Full-Time, VISA
At the CCDS, we're applying machine learning to healthcare to improve patient care and reduce inefficiency. Unlike most healthcare startups, we are embedded within a hospital (two actually -- Mass General Hospital and Brigham & Women's Hospital) giving us access to the clinicians and data we need to solve the most important issues facing medicine today. And with support from Nvidia, GE, and Nuance, we have the HW, translational expertise, and financial support to execute on our mission.
We're hiring for multiple roles on our ML, SW, Product, Data Eng, and Infrastructure teams. If interested, feel free to reach out (contact info in profile).
Responsibilities include the training of generative models and anything that contributes to the betterment of their capabilities -- profiling / optimizing their throughput, scaling training runs, tuning of hyperparameters / data mixes, etc. If it makes the model better, it's fair game!
Depending on the project, you will likely be involved in some combination of AR model training, diffusion model training, midtraining, post-training, multimodal training, etc.
As you can likely surmise, we're looking for folks who are flexible and comfortable wearing many hats. If this sounds like you and you're interested in working in a research environment, consider applying!
https://apply.careers.microsoft.com/careers/job/197039355664...