If it looks surprisingly dull, I hope it inspires you to realize you can get similar rates. I’m not particularly special; just determined, and willing to say no to low offers. (The initial offer was salary equal to half this rate plus stock. Being completely uninterested in stock is a tricky thing — you can offend your colleagues unless you’re especially tactful.)
My cv hasn’t been updated since 2016, but it’s also the exact cv I used at this company. That should indicate how much cvs matter relative to forming personal connections with founders.
The technique in this case was to ask an ML engineer on the JAX team what a hypothetical total comp package would be for this type of work at google. They said “making up numbers, but ~$400k.” So I refused any offers lower than that by pointing out that I could make this at Google rather than a high stress startup for half the pay plus stock.
1. What kind of companies do you consult with? Is it startups, enterprises, mid-size companies? I see you mentioned forming connections with founders so I presume you mostly work with early stage startups.
2. What kind of work do you do? Advisory? Hands-on engineering? Modeling? Architecture?
Interesting! I assumed ML consulting would require a long academic record (not saying the work requires that, just that there’s probably a bias towards that). How did you go from information security to ML? I’m taking some night classes at a local uni in the bay on ML to pick some of it up and might consider making a move once I’ve finished with my current work
It's a great CV. Very focused on what matters. As you say the CV isn't the most important part, but it shows what you offer now and conveys your many years experience without the noise (e.g. details of what tools/frameworks you were using in 2010 - who cares!)
If it looks surprisingly dull, I hope it inspires you to realize you can get similar rates. I’m not particularly special; just determined, and willing to say no to low offers. (The initial offer was salary equal to half this rate plus stock. Being completely uninterested in stock is a tricky thing — you can offend your colleagues unless you’re especially tactful.)
My cv hasn’t been updated since 2016, but it’s also the exact cv I used at this company. That should indicate how much cvs matter relative to forming personal connections with founders.
The technique in this case was to ask an ML engineer on the JAX team what a hypothetical total comp package would be for this type of work at google. They said “making up numbers, but ~$400k.” So I refused any offers lower than that by pointing out that I could make this at Google rather than a high stress startup for half the pay plus stock.
I hope some of that is useful to anyone.