The Grass Isn’t Greener on the Other Side
The technology community is definitely there and is obviously very strong, but it isn’t what I thought it would be. Due to the sheer size of the industry, meetups and other events were very impersonal compared to what I was used to in the LA area. Additionally, it seems that most of that original Silicon Valley startup energy has moved to San Francisco. To get to meetups, I would spend hours on shuttles, Caltrain, BART and Muni getting to SoMa and then being disappointed at the frequent company pitches instead of discussing actual science and technology. Not all groups are like that, as I attended plenty of meetups that were technical and whetted my appetite to learn more. Of course, there was also the question if I could even get into the meetup. The majority of the meetup groups I was a part of would fill up in a few hours for a hot topic or engaging speaker with waiting lists sometimes 100 to 200 people long. The final blow was that my attendance assumed I could get away from my projects at work, which I really could not. My technology community ended up being the others at the company, which may have been helpful for my job, but gave me a narrower focus than I wanted, and was just one more thing that kept me at work. Meetups are not the only important thing in the technology community though. I did attend a few conferences such as ACM SIGCIKM, BayLearn, Strata 2014 (but for recruiting), and I spoke at PyData when it was held at Facebook. To be fully immersed in the technology community and experience, it seems one now needs to live in San Francisco, and San Francisco is definitely not the city for me — I am more of a Silicon Valley suburb type but the energy wasn’t the same.
I am not alone when I say that I spent most of my waking life working. Since I had moved there for a job, and I didn’t have any roots, friends or family in the area I thought it would make sense for me to do this. But, working at this rate took a toll on me physically, mentally and emotionally. Although there is a lot to do in the Bay Area, there really wasn’t any time to do it because of the work culture. And people didn’t seem to have time for me for the same reason. This is not true for everyone, but I found it much more true in the Bay Area than anywhere else I have lived. To add to the long work hours, this is not the first time I have been an “overachiever” in life — this is something I had been afflicted with since high school (the 90s).
I learned a valuable lesson. It’s true that the grass isn’t greener on the other side. You can shower a person with free meals, free rides and other perks (I even forget what they were… they ended up not being important), but all it does is keep you at work, and keep you engaged with only that one part of your life. Your “friends” end up being at the company and ends up being a bad thing in such a competitive environment. Other perks like an onsite doctor, dentist and physical therapist may sound nice, but they were not up to par with services I received elsewhere, and again are just ways to keep you at work. These things are gimmicks. They are good to entice people, they are good to make life convenient, but they really are just ways to keep you at work and pay you less.
Burn Out: Time to Reflect and Slow Down
When I returned to LA, I drove down Pacific Coast Highway and looked out to the ocean. As the orange winter sun beat on my face through the window, I could not believe it had been 2 years since I had taken that drive. That was not like me. I lived for the beach atmosphere and the sense of unwinding it provided me. At that moment,
Things Have Changed
I am not closing any doors in this post, but I have learned to value a sane work environment and work hours over perks and pure compensation. Rather than focus on compensation and working at a “hot” company, my intention is to do work that benefits the common good with respect to my interests, while providing me with the means to live, retire, and have funds available for my own hobbies and side projects. There is only one thing that I will not compromise on (ok, two): I must be able to wear shorts, and I must be able to have flexible hours. Whether or not to accept a position is now a lot more complex than looking at a company’s base product and having coding, machine learning and statistics in the job requirements/description. I do not want spend 1% of my time doing machine learning using some basic model (i.e. Naive Bayes or Logistic Regression) and the other 99% scaling it to billions of observations. Rather, I would like to be able to explore more on the machine learning side, and learn new algorithms and methods for prediction and classification. This does not mean that I completely want to move away from the systems engineering stuff, but it will really depend on the product and the team rather than just the company.
After a lot of introspection, I want to take a look at some other fields outside of “pure tech” including but not limited to:
- Environmental and activity geospatial data. After living in the mountains, I’ve become very interested in environmental data, particularly using time series, GPS telemetry and geospatial analysis. My interest in this field has applications from everything from efficient placement of snowmobiles for SAR operations, to action sports and activity intelligence, even navigation.
- Finance. Finance used to be on my list of “never ever.” After learning more about economics and Wall Street from my time in startups and Silicon Valley, I am also interested in some applications in finance. Machine learning is obviously very useful for automated investing, but data visualization has proven to be useful in manual transactions for me.
- Education. My original draw to statistics was the field of psychometrics and the develop of educational assessments. I am considering going back in this direction. I am also interested in the educational technology sector improving the delivery of educational materials and assessment of learning. Of course, I may go into teaching altogether, most likely at the college level, or as some type of training consultant.
- Aviation: Airliners and drones. People that know me well know that I love airports, airlines and flying. Aviation uses a lot of different data science techniques. Drones are an emerging technology and routing drones in the sky has become a challenge that companies are working on. Routing, both for drones and airliners, uses geospatial/map data and network/graph data and takes into account many variables that affect flight, airspace congestion, and airport/ground resource usage. Wait time and queuing theory is also very important for runway operations. There is a lot of game theory, network analysis, and other data science involved in pricing and scheduling of airliner flights. All of these challenges are interesting to me.
- “Internet of Things.” It annoys me that the emerging field of embedded systems, their development and data processing has become yet another cheap buzzword like “big data” or the misuse of the term “data science.” Devices such as the Raspberry Pi, Arduino and custom printed circuit boards allow the masses to create new data collection devices that unobtrusively fit anywhere data need recording. While the data itself is interesting, in this one particular case, I am actually more interested in the hardware, and pure engineering side rather than the data science side.
- Security is an exponentially growing field that has become pivotal not only for national security, but for privacy. Security is a field that is very interesting to me, but one I know very little about, and thus is an option for a more ambitious change of field. I can see it being a field I would be passionate about the more I learn about it. Security would be unchartered waters for me, but I do not see it as a field that will be disappearing anytime soon.
After typing up this list and re-reading it, I realize I still have the same level of passion I always did, and perhaps my soul needed to focus on something else for a while. Now I just have to make the choices of which ones are the most rewarding, and which ones provide the best opportunities for me. In any job interview, there is always the “Do you have any questions for me/us?” Over the past several years, I have compiled a long list of questions. And if I do not like the answer, or if I can tell the interviewer is BSing the answer, abort! Perks and big names are not the key to happiness or a more fulfilled life — becoming a better person and being able to enjoy the process of life is.
Below are some pictures from my neighborhood!