Spring Discovery | Software Engineer + Data Scientists / Applied ML | Full-Time | SF Bay Area | ONSITE
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [1]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more [2]. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML analysis platform and our automated lab. We’re looking for experienced software engineers and data scientists/ML researchers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets to building an internal web app for tracking lab data. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
Our mission at Spring is to accelerate the discovery of therapies for age related diseases. Machine learning is a core part of our approach and we're building a close-knit team of scientists and engineers. If you're interested, check out our job openings [1]. We also just raised an A round with support from some fantastic folks [2], including Laura Deming who put out this great FAQ on the space if you haven't already seen it: https://www.ldeming.com/longevityfaq/
Spring Discovery | Data Scientist / Applied ML | Full-Time | SF Bay Area | ONSITE
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world that this is possible [1]. But translating the science to real therapies has been challenging in a field that has historically struggled to experiment quickly. Here’s more on our mission and approach: https://medium.com/spring-discovery/accelerating-the-discove...
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more [2]. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have the beginnings of a great data pipeline (already several TB of rich biological data collected specifically for ML purposes) and are in the process of building out our own automated lab to scale things up even more. We’re looking to add to our early team with experienced data scientists or applied ML engineers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Data Scientist / Applied ML | Full-Time | SF Bay Area | ONSITE
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world that this is possible [1]. But translating the science to real therapies has been challenging in a field that has historically struggled to experiment quickly. Here’s more on our mission and approach: https://medium.com/spring-discovery/accelerating-the-discove...
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have the beginnings of a great data pipeline (already several TB of rich biological data collected specifically for ML purposes) and are in the process of building out our own automated lab to scale things up even more. We’re looking to add to our early team with experienced data scientists or applied ML engineers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Spring Discovery | Data Scientist / Applied ML | Full-Time | Bay Area
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world that this is possible [1]. But translating the science to real therapies has been challenging in a field that has historically struggled to experiment quickly. Here’s more on our mission and approach: https://medium.com/spring-discovery/accelerating-the-discove...
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Sam Altman, and more. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have the beginnings of a great data pipeline (already several TB of rich biological data collected specifically for ML purposes) and are building out our own lab to accelerate data acquisition even more. We’re looking now to add to our early team with experienced data scientists or applied ML engineers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
Khan Academy — Mountain View, CA (remote possible)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Millions of people in all walks of life use our free platform to learn (check out testimonials at https://www.khanacademy.org/stories). Most of you reading this are probably familiar with Sal's videos, but we also have hundreds of videos by other teachers and a huge library of interactive exercises.
A few things we're currently working on building right now:
– Mobile apps to help students learn on the go and increase access to those who might not have access to a computer [1]
– Improved knowledge models so we can better predict what you know and what will help you [2]
– Infrastructure to make the site more reliable and faster for our millions of visitors every month [3]
We're especially looking for dev ops engineers, but we have a handful of other positions open. Unfortunately, we've filled up our slots for this coming summer internship, but we'd happily talk to intern candidates for future terms.
Hey Ben,
I sent in a software developer application about 3 weeks ago (included all required information). If I haven't received a response by now, does that mean I probably wasn't selected to go on to an interview? Thanks!
It means our process is backed up further than we're proud of — sorry for the slow response. Can you email Kayla (kayla@khanacademy.org) and me (ben@khanacademy.org) and we'll get back to you asap?
Khan Academy — Mountain View, CA (remote possible)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Millions of people in all walks of life use our free educational platform to learn (check out some testimonials at https://www.khanacademy.org/stories). Most of you reading this are familiar with Sal's videos, but we also have hundreds of videos by other teachers, partnerships with organizations like MoMA and the California Academy of Sciences, and a huge library of interactive exercises.
A few things we're currently working on building right now:
– Major improvements to our mobile offerings to let students practice skills on the go [1]
– Improved knowledge models so we can better know what you know and don't know [2]
– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [3]
==================================
We're especially looking for mobile and ops engineers, but we have a handful of other positions open. Unfortunately, we've filled up our slots for this coming summer internship, but we'd happily talk to intern candidates for future terms.
Khan Academy — Mountain View, CA (remote possible)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Millions of people in all walks of life use our free educational platform to learn (check out some testimonials at https://www.khanacademy.org/stories). Most of you reading this are familiar with Sal's videos, but we also have hundreds of videos by other teachers, partnerships with organizations like MoMA and the California Academy of Sciences, and a huge library of interactive exercises.
A few things we're currently working on building right now:
– Major improvements to our mobile offerings to let students practice skills on the go [1]
– Improved knowledge models so we can better know what you know and don't know [2]
– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [3]
==================================
We're especially looking for mobile and ops engineers, but we have a handful of other positions open. Unfortunately, we've filled up our slots for this coming summer internship, but we'd happily talk to intern candidates for future terms.
Yes, unfortunately that's correct. We're going to work to make this situation better, but for now we require eligibility to work in the US and can only support visas from citizens of Canada, Mexico and Australia right now.
Khan Academy — Mountain View, CA (we also love interns, and remote is a possibility)
We're a small, non-profit tech startup bringing a free, world-class education to anyone, anywhere.
Here's a testimonial we received last week:
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I just want to say thank you a billion times to Khan Academy. My Geometry midterm was this Tuesday. I was worried, because I barely passed my Algebra one last year. Enter Khan Academy. It was great practice, as they had a good amount questions where you had to manipulate on screen variables, rather than just answer multiple choice questions. This stood out to me, as my school gives tests with these types of questions and no other review site i found had them. We got our scores back, and I was the only person in my class that got an A. It's not really an "inspiring" story, but hey, I figured I'd share it anyway.
==================================
Mia might not think so, but her story does inspire and makes me happy to go to work here. Every month we get hundreds of letters like this from people in all walks of life who are thankful for our free, high-quality educational content. Most of you reading this are familiar with Sal's videos, but we also have hundreds of videos by other teachers, partnerships with organizations like MoMA and the California Academy of Sciences, and a huge library of interactive exercises. Over 20 million math problems are done every week on our site.
A few things we're currently working on building right now:
– Major improvements to our iOS app to let students practice skills on the go (or in a classroom with iPads!) [1]
– Improved knowledge models so we can better know what you know and don't know [2]
– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [3]
– Better tools for our content creators to allow them to make thousands of engaging, interactive exercise problems without knowing how to code [4]
You'll be part of a small team working alongside both "celebrity" devs (like jQuery creator John Resig and Google's first employee Craig Silverstein) and many more who you haven't heard of but who are also really awesome.
==================================
We're especially looking for mobile designers/devs but we have a handful of other positions open -- take a look and see if anything suits you.
Apply at https://www.khanacademy.org/careers and mention that you're coming from HN. Feel free to ask me here if you have questions about applying or about KA in general. Unfortunately we can't sponsor visas right now unless you're from Canada, Australia, or Mexico.
You've likely already discovered this, but in the off chance not, you can set your keymap to match Eclipse. Just go in Preferences > Keymap, and select Eclipse or Eclipse OS X from the dropdown.
Please don't do this. I know I'll probably get voted down by people, but doing this is terrible if you're in a team. You can't move efficiently to a co-workers computer and pair program like this.
Take the time to learn the shortcuts for AS. They might be long and arduous, but learn them. Then you can jump from keyboard to keyboard without having to tell a team member, "Before we begin, let me change your keyboard shortcuts to my preference".
Sure you can. Ctrl-Shift-A, type 'keymap', and you get a handy popup (same size as the 'recent files' switcher available with Ctrl-E) with the defined keymaps ready to use. Few seconds, maximum.
Well, that's a fair comment. But I've been the lead on multiple projects for multiple companies. This means that I'm often at someone's PC working in Eclipse. I know the shortcuts, they might not. In either case, having to change someone's settings to suit me is a slow process.
Especially problematic when I get called off to something else. I might forget to set the editor back. Now the person is annoyed until they either figure it out or call me back saying, "Fix it, ass."
What about shops where programmers use different IDEs? Even if they go by the principle that forbids them to customize anything, you still have different keyboard shortcuts to deal with. I dread the thought that you might prefer to impose One True IDE on everyone in the team just for this reason...
General rule? No multiple editors. That doesn't mean no specialized tools, but no one offs. On one team a member wanted to use VIM for most of there stuff. I thought fine. Unfortunately VIM's formatting is different than Eclipse's. The result is files were hard to read in both tools.
Besides, to the point at hand, my rule is no dicking around with how the Romans do it. IntelliJ has its own rules. Eclipse another. The same is true for Emacs and VIM. Trying to make one the other overly complicates the matter for the team. Think how many people get confused by Emacs in Evil Mode.
A team requires that we work in concert. They should argue and defend tool selection. Once decided stick with it until its been played out.
"Unfortunately VIM's formatting is different than Eclipse's"
Now can't THAT be fixed without throwing Vim away?? I've never used Vim, but I think its fans hail it as very configurable etc., the best thing since sliced bread (or is it Emacs? I can never remember which one cures cancer) :))
Anyway, these are discrepancies that "leak out" of your machine; like code formatting. That's a showstopper to be sure.
But keyboard shortcuts I see as a "private area", just like being left-handed and configuring one's machine to accommodate for that - sorry, but Ctrl+X and Ctrl+C aren't that convenient for someone who uses their left hand to control mouse (statistically 1 person in 10).
Maybe Android development isn't the best example here, since 1. no offense to those who swear by it, but Eclipse is inferior in compare to Android Studio, I don't think anyone would fiercely insist on sticking to it, 2. both these IDEs are closely integrated with different build systems.
But, say, in PHP? You can (or should be able to) freely switch between PhpStorm, NetBeans, Eclipse or even a regular text editor without affecting other team members as far as code itself is concerned.
To put it that way - personally I wouldn't like to work in an environment where it's prohibited :) That's just fascist, man...
Spring Discovery is applying machine learning to accelerate the discovery of therapies for aging and its many related diseases. Aging is the single greatest risk factor for the most detrimental diseases — by understanding and treating the biological damage accumulated as we age, we can find powerful new therapies for fighting disease and living healthier, longer lives.
Over the past few decades, an unignorable amount of evidence has piled up from the best labs in the world showing that this is possible [1]. However, the research, while promising, has been frustratingly slow. We’re leveraging the power of machine learning to dramatically improve the experimental process and we believe this approach has the potential to unlock a whole new class of therapeutic discoveries.
We have deep support from top-notch investors, including General Catalyst, First Round, Laura Deming's Longevity Fund, Felicis, Caffeinated Capital, Sam Altman, and more [2]. And our advisory board includes both world leaders in aging research and senior pharma execs.
We have a great early team of senior engineers (ex-Google, Khan Academy, CZI) collaborating tightly with leading scientists in the field. But we need help to continue scaling out our ML analysis platform and our automated lab. We’re looking for experienced software engineers and data scientists/ML researchers who would enjoy working on things ranging from data infrastructure to modelling to statistical analysis of large datasets to building an internal web app for tracking lab data. Yes, you belong even if you don't have a bio background — we're a cross-functional team. (Although of course biology experience is a plus).
If this sounds interesting to you, head on over to https://www.springdisc.com/careers or email me directly at benkomalo+hn@springdisc.com.
[1] https://ldeming.com/longevityfaq
[2] https://medium.com/spring-discovery/with-18-million-in-new-f...