CarbonPlan is doing a great job bringing transparency here by analyzing and publishing proposals to the major carbon removal programs to date (Stripe and Microsoft): https://carbonplan.org/research/cdr-database
HN user
ebildsten
Check out the Founder's Pledge report on Climate Change for recommended non-profits: https://founderspledge.com/stories/climate-change-executive-...
There's a similar analysis by Let's Fund: https://lets-fund.org/clean-energy/
From asking a few folks in climate-related academia, they seem to support all of these recommendations
Charm Industrial is doing something like this (producing hydrogen from biomass and sequestering excess carbon from the process)
On the waitlist for rooftop solar panel install, currently installing electric heat pump water heater (we use radiant heat, so this covers space heating as well) and induction stove and will buy electric car as soon as solar panels are in to go all-electric at home!
Currently putting together a doc to later publish on what we should all be doing on this front: https://docs.google.com/document/d/1-67lMjm7C1b9PpbKfFn39ucI...
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OpenAI | San Francisco | Full Time, Onsite, Interns, Visa | https://openai.com
OpenAI’s mission is to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible. We are building a team of researchers and engineers to make the defining breakthroughs in machine learning.
We care about what people will accomplish here much more than what they've already done: for any of our hiring criteria, demonstration of exceptional motivation and potential can overcome a lack of experience. We value personal development; we hire curious, highly-motivated individuals who look to grow in areas where they have not yet achieved mastery.
Our impact is greater than just publishing research papers. We build working systems. We try to empower and strengthen the AI research community, and collaborate freely. We publish our techniques, tools, and methods, and try to find creative approaches for how to improve the progress and impact of ML research.
We're currently hiring software engineers, machine learning researchers, machine learning interns, and a recruiting coordinator.
Thanks for the feedback! We've updated the privacy policy to remove this section to reflect that we won't do this.
Planet Labs -- San Francisco, CA -- REMOTE
Planet Labs (http://planet.com/) in San Francisco, CA has a large number of positions open. We're a collection of electrical, mechanical, aerospace, software, science, etc. folks looking to image the whole planet on a daily basis with a large number of small satellites. It's a terrific bunch of folks doing what we call "agile aerospace". We've launched ~90 satellites so far (and had 8 on the SpaceX CRS-7 rocket :( )
Python (Flask, Django) and Javascript (React, Backbone) are used heavily in the web projects. We of course have systems programming to do for the onboard software. Plenty of other interesting work from the satellite design and various subsystems, manufacturing, georectification of images, image corrections, and heaps of possibilities with a supremely interesting dataset that we're growing.
Some gigs are onsite only, others may be available to remote workers.
Full list of jobs at https://www.planet.com/careers/#openings
Press:
A Tech Start-Up Just Restored My Faith in Humanity — http://nymag.com/daily/intelligencer/2014/08/tech-start-up-r...
Planet Labs: The Satellite-launching Startup That Took On National Governments -- And Elon Musk — http://www.wired.co.uk/magazine/archive/2015/05/features/pla...
Satellites in LEO (including ours) travel at about 17,000 mph — drones can get nowhere close to that, which affects total coverage area possible per aircraft / spacecraft, which in turn will affect costs and operations.
To get a sense of what 17,000 mph ground speed looks like from a satellite's point of view: https://www.planet.com/pulse/la-to-vegas-in-52-seconds/
Planet Labs -- https://www.planet.com -- San Francisco, San Antonio, or Remote
We design, build, launch, and operate small satellites, and process, analyze and serve the imagery data we downlink from them. We have some serious (-ly fun!) data and software challenges as we aim to rethink how satellite imagery is accessed and used. Our goal is to image the entire Earth, every day, and democratize access to these data and tools. So far this year, we've launched 71 satellites across 6 rocket launches, with many more slated for next year. We're a team of ~100 engineers (software, mechanical, electrical, aero/astro, and manufacturing) and business people primarily based in San Francisco, with a small, primarily SRE, team building in San Antonio, and a handful of remotes across the world.
Senior Platform/Infrastructure Engineer, Platform Team: https://planetlabs.recruiterbox.com/jobs/fk0lb6
Site Reliability Engineer: https://planetlabs.recruiterbox.com/jobs/fk0gxf/
Web Developer, Internal Tools: https://planetlabs.recruiterbox.com/jobs/fk0lbh/
Web Developer, Manufacturing Tools: https://planetlabs.recruiterbox.com/jobs/fk0nz9/
Also 26 satellites from Planet Labs
UCSB has 3 Physics Nobel prizes, and 6 total laureates
More information about the institute and residence:
http://dealbook.nytimes.com/2014/10/24/a-billionaires-65-mil...
Admittedly our site is light on technical details right now, but you can read more about our system here -- https://directory.eoportal.org/web/eoportal/satellite-missio...
Thanks :) Stay tuned, we have a lot more to share!
Now that the USPTO is a first-to-file system, they may have felt pressure to file for defensive patents before someone else did so offensively and came after them.
Check out http://planet-labs.com/ - we're not curing cancer, but we are launching a ton of satellites to hopefully make earth data far more available and transparent, and have lots of juicy SW challenges
Planet Labs Inc. - http://planet-labs.com - San Francisco, CA
We provide universal access to information about the changing planet. We'll soon operate the world’s largest fleet of Earth imaging satellites to frequently image the entire planet and provide open access to that information. We have a big mission and we seek highly performing and accountable people who care deeply about the art of creation.
We're primarily looking for strong software engineers interested in working on distributed systems, image processing, embedded systems, spacecraft commanding, mapping, and web tool development. While we expect you to have a strong background in building software systems, no prior experience in these specific systems is required. You'll code in Python and C++, among other languages.
See our open positions and apply at https://planetlabs.recruiterbox.com/.
Come help us build a spacecraft network!
we prefer 'constellation' :)
The data is not the same - they vary greatly on spatial resolution and latency. Better than 10cm resolution with effectively 0s latency (in the drone case), and ~5,000-12,000km resolution (assuming you can get back only a couple of pixels from a MACHO) with yrs of latency are two very very different things.