Blog

August 2, 2017
Engineering Spotlight: FeatureX
Gil Sysweda, Founder and CTO of FeatureX
Gil Syswerda, Founder and CTO of FeatureX

FeatureX is using machine learning and other AI technologies to analyze global data sets. With their sophisticated technology, FeatureX is able to discover and predict patterns in financial and economic data.

We connected with FeatureX’s founder and CTO, Gil Syswerda, to talk about the engineering team and how they are able to take on a job of this magnitude. We even had a chance to chat about how the company built the engineering team and what the company’s internal culture is like.

Also, FeatureX is hiring! Check out their BIZZpage for all of the company’s openings!


FeatureX Logo

Quick Hit Details

  • Year Founded: 2015

  • Number of employees: 10

  • Number of engineers: 7

  • Industry: machine learning technology


FeatureX is a cool name. Is there a meaning behind it?

In machine learning, success begins and ends with creating the right features, which are individual measurable characteristics of an event or dataset, and X marks the spot!

Can you share the details on what FeatureX does?

We do two closely related things. First, we analyze large data sets using machine learning, extracting economic activity over time. One of the datasets we tackle is millions of high-resolution satellite images, where we take a sequence of satellite images and extract a sequence of economic activity.

Second, we analyze large financial datasets, using a variety of machine learning techniques, looking for patterns over time. These patterns are the basis for creating prediction models for trading.

FeatureX Team

Your website talks about using machine learning to discover meaningful patterns in the world’s data.  Can you share what that means?

Machine learning, combined with the massive amounts of affordable computing power made available via cloud computing services and GPUs, make it possible to find patterns in very large datasets. Also, by using our proprietary machine learning technologies, we can see patterns in data that no one else can see.

What are some of the different technologies that the engineering team gets to work with and at what scale?

We make extensive use of deep learning, including autoencoders, GAN, and CNNs. We are very innovative in that space, and have developed unique architectures and operators. We also employ a proprietary machine learning system, unlike any publicly available system, that is very effective at finding certain kinds of patterns in data.

What are some of the interesting projects that the engineering team is tackling?

In the satellite and remote sensing space, we are building a set of platforms that will allow both ourselves and others to create SaaS products easily and effectively. These products will provide business insights for financial firms, insurance companies, large corporations and governments.

In the financial space, we are working closely with Tudor Investment Corporation, a world-class hedge fund, to build financial prediction models. This work involves taking raw financial time series data, such as price/volume over time, using machine learning to extract latent features from that data, and then using a different kind of machine learning on those features to create prediction models.

Can you describe the type of background or experience that you generally look for when hiring for the engineering team?

At our heart, we are a machine learning research and development team. As such, we look for research scientists who can innovate in either the machine learning or computer vision areas. We also look for research engineers who love to code, but also have an interest in machine learning and want to learn more.

On the platform side, we look for people that love software development and who think naturally in terms of service oriented architectures (SOA) and APIs.

We hire all experience ranges, from people with deep industry experience to people just graduating from school. We value experience, but above all we value being bright and innovative.

How would you best describe the culture and working environment for the engineering team at FeatureX?

We are very focused on learning. We are working at the cutting edges of both machine learning and SaaS software deployment, and in both worlds the pace of innovation in the outside world is high. We are committed as an organization to staying current. As a result, we have a collegiate environment where ideas are shared and discussed, and a lot of cross-team dialog happens. We host our own machine learning seminar each week, and invite selected outsiders to participate. We read a lot of papers and attend scientific and technical conferences. One of our new employees, recently out of school, commented to me recently that he thought the pace of learning in grad school was high, but that grad school didn’t compare to FeatureX!

FeatureX team at TechJam

In terms of day to day life, we have great offices in Kendall Square where you can often find our employees hanging out, playing foosball or board games. That’s another important part of our culture here. Everyone respects and values the contributions of their teammates, which makes for a collaborative work environment, but also a lot of fun. We do company-wide events like bowling or kayaking, but the inherent friendliness and interest in spending time with each other is what makes it a truly enjoyable place to work.

What can someone expect during the interview process?

As a candidate, you start by having an initial phone conversation, usually with me. In that conversation, we establish that there is mutual interest and we get to know one another a bit. That is followed by a programming test, where we give you a small project to code up. In the coding test, we test your ability to understand a problem statement, and to devise a reasonable programming solution to that problem. We then do a technical video call lasting about an hour. In that interview, usually with 3 people on our end, we do an assessment of the skills and knowledge you bring to the table. Depending on what position you are applying for, you will be asked questions about computer science, software development, math, statistics, machine learning, and computer vision. The next step after that is an onsite visit, where you will spend a good part of a day with the team. During this visit, we will delve into more technical questions and also determine, from your perspective and ours, whether we are a good cultural fit for each other. You are encouraged to meet one on one with our employees to get an inside perspective on what it is like to work at FeatureX.

What does your engineering team do for fun outside of work?  Are they involved in any local tech organizations?

We are a pretty social group. A number of us work out together in the mornings (we provide free gym membership!). We often eat lunch together, and have Friday evening gatherings with food and drinks. The Thursday afternoon machine learning seminar has become an important part of our culture as well, and we have regular outside people who attend. In some sense, we ourselves have become a tech organization that others seek to be a part of!

FeatureX Outside of Work

We are located in Kendall Square on purpose. We want to be next to MIT and be part of that community. We are affiliated with CSAIL, we sponsor the ML Tea, and we attend talks and events all the time.

As for non-work related fun? A lot of our people like to be outside - hiking, biking, running. We have a few who enjoy cooking and travel as well. There’s undoubtedly a fair amount of video game interest too.

Are there any other random fun facts that you’d like to share?

We’ll use practically any excuse to have a party. We recently had an issue with financial data, which we called the 2006 problem. When we finally figured it out, Emily and Colleen, who make up our HR team, threw a surprise party, complete with a 2006-themed cake and champagne!

Birthday parties, Chinese New Year, 4th of July (you could see the firework from our office), parties to celebrate personal or work achievements - nothing is off limits!

FeatureX Company Culture


Rapid Fire Q&A

What’s on tap?

Changes by the week! There’s always an IPA, Guinness, and cider, but you’ll see anything from specialty cocktails to seasonals - we try to get creative.

Star Wars or Star Trek?

We have employees from all over the world. It’s not so much Star Wars or Star Trek as it is “zee” or “zed”, “chips” or “crisps”?

iPhone or Android?

Android

Coffee - hot or iced?

Either - we’ve figured out how to use the fancy espresso machine in the kitchen and the world is our oyster (or roaster, as the case may be).

Favorite employee perk?

Free gym membership is a huge hit. But traveling worldwide for conferences isn’t bad either.

What TV show describes the engineering team’s culture?

There might be varying opinions on it, but every single one of us has watched Westworld. I’ll just say that.


Employee Testimonials

Pau King“I really like the research environment at FeatureX. It’s stimulating! I have to tackle a lot of very interesting or challenging problems that use machine learning in a novel way and I know that I'm doing important work in leveraging satellite images. Doing this alongside a really nice cohort of people makes the whole process a lot more fun. I have a lot of ownership over the problems I'm solving but also a lot of collaboration and opportunity to learn new things from others.”

Pau King
Vision Research Scientist

 

Matt Falk FeatureX"I joined FeatureX because I was looking to challenge both my strengths and weaknesses. Since joining, I have had the ability to nourish my coding expertise, while at the same time learning all about statistics and machine learning. Through the many internal machine learning discussions that take place as well as the weekly seminars (where we present and dissect an industry paper) I have had the opportunity to ramp up quickly in the machine learning space."

Matt Falk
Senior Software Engineer

 

“I’m really enjoying my internship here. First of all, the employees at FeatureX really know how to do research, and it’s not just bottom-line focused or narrowed into churning out product that may or may not work. We’re meticulous about how we take the steps, and Gil is really focused on that which is great.”

Jeet Mohapatra
Machine Learning Intern

 


Keith Cline is the Founder of VentureFizz.  Follow him on Twitter: @kcline6.

Images courtesy of FeatureX.