Leaving Google, Joining the Nucleic Acid Observatory

June 10th, 2022
ea, switching_jobs, work
In 2017 I rejoined Google to earn money to donate. At the time I thought earning to give was probably not where I could have the most impact, but I wasn't able to find other options that were a good fit for me personally. Over the last five years a few things have changed:

So: today will be my last day at Google, and Monday will be my first day at the Nucleic Acid Observatory (NAO). We'll be building a system to collect wastewater samples and sequence their nucleic acids, with the goal of catching potential future pandemics earlier. More details in the EA Forum post and much more in the paper.

In looking for things that I might do instead of earning to give, I identified several other strong candidates for ways to apply software engineering skills to making the world better. If you're thinking of making a similar move, let me know and I'd be happy to give you an overview of what I found and potentially give introductions. While normally I prefer people comment publicly instead of sending private messages, this is the kind of thing where I'm happy to receive messages.

While I'm overall quite mixed on how the increased focus on applying your career has made EA more demanding, in my particular case I think it's pushed me in a good direction.

Timeline of this decision:

  • Weekend of 2022-03-26: Informal in-person discussion with EA friends I haven't seen in a while gets me thinking again about moving into something more directly useful.

  • 2022-03-28: One of these friends, who also happens to work at 80,000 Hours, follows up by email and gets me thinking specifically about how bio could offer a good combination of impactful, in-person, and in-Boston.

  • 2022-03-31: I write "since now that there is so much more money available in the EA movement I'm back to thinking about doing something other than earning to give".

  • 2022-04-04: I write to Will Bradshaw to see if he has ideas about where I might be helpful, though for travel and personal reasons we don't end up meeting to talk until 2022-04-29.

  • 2022-04-08: I write to Chris Bakerlee at the Open Philanthropy project, who gives good advice and suggestions of people to talk to.

  • 2022-04-13 through 2022-04-27: In the UK, watching the kids while Julia attends EA Global and then visiting EA friends there after. Talked to quite a few different people about options here.

  • 2022-05: A lot of reading from the two lists (Greg's and Chris') that 80,000 Hours links.

  • 2022-05: Talking to three different groups I was strongly considering joining. In addition to the NAO this was Alvea and SecureDNA, both of which I think highly of.

  • 2022-05-23: At dinner with housemates I realize that with three strong options and several other ideas for things that I might do if those fell through that I'm very unlikely to stay at Google.

  • 2022-05-24: Gave notice to my manager. I'm out on leave this week, though, so I don't start handoffs yet.

  • 2022-05-31: Announce to my team that I'm leaving and start handing things off.

  • 2022-06-04: Decided to join the NAO.

  • 2022-06-10: Last day at Google.

  • 2022-06-13: First day at the NAO.

As last time, I'm pretty sad to be leaving Google. It's been a great place to work, and I especially like my team and the work we do. I've built up a deep understanding of the web platform and advertising ecosystem, and while this domain knowledge isn't especially altruistically useful it's been fascinating and challenging work. I'll still be following the progress of subresource bundles and the privacy sandbox APIs, and I'm going to miss so many people!

In writing my goodbye emails I saw that this time I've been at Google for 1,739 days, thirteen shy of my previous record, 1,752. While I don't think I would have stayed another two weeks just to make it even, I'm glad this didn't occur to me until after I'd given notice.

Comment via: facebook, lesswrong, the EA Forum

Recent posts on blogs I like:

What Percentage of People Are Bi?

More than half?

via Thing of Things February 26, 2024

How I build and run behavioral interviews

This is an adaptation of an internal doc I wrote for Wave. I used to think that behavioral interviews were basically useless, because it was too easy for candidates to bullshit them and too hard for me to tell what was a good answer. I’d end up grading eve…

via benkuhn.net February 25, 2024

Diseconomies of scale in fraud, spam, support, and moderation

If I ask myself a question like "I'd like to buy an SD card; who do I trust to sell me a real SD card and not some fake, Amazon or my local Best Buy?", of course the answer is that I trust my local Best Buy1 more than Amazon, which is notoriou…

via Posts on February 18, 2024

more     (via openring)