I’ve landed at Neurensic
! First I’d like to thank all the people entertained my request for a job – there were lots and lots. Competition was stiff, and as the month went on, the offers got wilder and wilder and closer and closer to my dreams. Ultimately I had the choice for taking VC funding and starting something of my own (still Out There, and will probably happen yet, and could be Flying Cars
), and venturing into the financial tech sector, something I’ve long thought about. Fin Tech won the day, but I’d like to give a special shout out to Google (at least 4 different groups courted me, I really like the feel of Google).
The job hunt experience gave me an unparalleled view into the Valley’s outstanding tech problems. Several problems really stood out – as things a lot of people wanted help solving, and I thought I’d mention them here as a sort of “State of the Valley’s Better Mousetrap Hunters”.
– At least 6 stalled attempts to speed up Python are Out There ( PyPy
appears to be “less stalled”) – and I got clear offers from 2 companies and sorta clear offers from 2 more to make “Python Go Fast”. I also reached out to the Python core community – and got a resounding Silence. I’m not fond of pushing rocks uphill; if the core community isn’t interested then I’m not (yet) willing to tilt at this windmill. Nonetheless, given the response from 4 companies (some quite large) I’m willing to bet Somebody’s interested. Sorta needs the Kickstarter-from-Hell to pay my bills, but then could be a fun gig.
Both the NodeJS and Python speed problems appear to not be getting solved anytime soon. I might come revisit both of these areas down the road- perhaps more as a quiet easy-going slam-dunk job.
After that, mix in 4 different ML-related offers, 8 different startups (literally at least 8, more than one network-security-meets-ML), and several We’ll-Fund-Whatever-Cliff-Does startups. And flying cars, no lie
; that was the last-ditch almost winner. But I need to be in a better state financially before I can bite into that
apple. All told I sorted through over 20 serious job offers. It’s good to have First World Problems.
Why Neurensic? Why Financial Tech?
This story goes waaaay back – I’ll skip past the “ I was born a poor black child…
” part of the story and start in when I was about 26 or 27. I was just finishing up my PhD and was starting to look at the job market – and Everybody was saying all the money was in being a stock market trader. It looked too much like giving up on helping the world – just living for myself, so mercenary and narcissistic. I still wanted to Help the World, and I liked my mix of theory and practice… so I ran off to do compiler research at HP Labs, then beat IBM on IBM hardware with my mad compiler skilz, and a few years later headed out to California to make this new-fangled Java language Go Fast.
Fast forward 20 years, and I got fame… but not really fortune. I am all for changing that now, at least a bit. I have been courted repeatedly by the traders over the years, and certainly talked with dozens of high frequency trader groups about Java performance and low latency GC. Basically I’ve had the Fin Tech itch for more than 20 years, and I’m finally going to scratch it – but not in trading directly.
Neurensic has some lucky timing and some serious financial market Quant talent. They put together a Machine Learning-based product to find financial market cheaters
– and just in time to match the new Dodd-Frank compliance rules
. Their timing is impeccable; suddenly everybody who is responsible for traders’ good behavior (i.e. the Banks) wants their stuff. Their first generation product is just coming out, and I plan on bring my own skill and H2O’s Big Data and ML
abilities to dramatically up Neurensic’s game. The Goal: keeping the Stock Market (well, all
financial markets) safe for everybody.
Neurensic Round Two is also right up my alley: a Rosetta Stone
for the 40 or 50 back-end systems found in any large Bank. Many of these systems date from the 80’s and 90’s, and use a level of tech I’m very comfortable with. The Goal here is to simply bring together all of this disparate data – it’s Big Data, so my Big Data experience applies here also – and give decision makers a grand overview of their entire enterprise, updated in seconds instead of days. The term that springs to mind is a colonoscopy, a birds-eye view of a Banks’ backside.
I will remain in Silicon Valley, and will be shortly recruiting engineers looking to blend machine learning, financial tech, and some “catch the bad guys” mentality.
But Wait, There’s More!
I have a another offer I am actively pursuing – to keep extending H2O in the Open Source. This will be a funded H2O-Center-of-Excellence with room for 5 to 10 salaried engineers solely focused on moving H2O forward. Funding hasn’t landed yet, so I can’t say more – but I’m hopeful that I can start offering positions here in the next month or so. Note that Neurensic is both fully on-board with this effort, and is not funding it nor controlling it in any way. Basically, it will be my second day job, and it happens to align well with my other day job.
Related-but-not-related, I’ve really enjoyed my engagement with the Skymind
guys (hi Chris and Adam!) and DeepLearning4J
– and am also angling to be in a position to get DL4J and H2O working together.
Hey! This means I’m running at least 2 teams of of 5 to 10 engineers each! Isn’t Cliff known for both his code hacking skilz and lack-of-people skilz? Well, I’ve been running the engineering team at H2O for several years – and I really like it, and by all accounts people like how I run a team. So yeah, I’ll be running some teams. I’ll also be coding – I am a
after all, I have to Make Stuff
to save my soul – so yeah, I’ll be coding still. Just blending in some people-time also.
If any of this interests you, come knock on my door! For anything open source, or H2O, or heck Java Performance or compilers or flying cars, my email of 30 years still works:
For anything related to Neurensic or Fin Tech try me at:
Looking forward to hearing from y’all!!!