Head Of Data Science at Density

At Density, we build the infrastructure necessary to measure how people use space. The result of distributing this platform is lower emissions, less waste, better access, safer buildings, and better designed cities. It is a long term pursuit and one we could use your help achieving. 

The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class. 

Importance of Data Science at Density 


At its core, Density boils down to its real-time people counting algorithm. We are only as good as our data and our engineers. Density’s Data Science team is uniquely challenged with accurately counting people using a variety of sensors that focus on anonymity at the source. If you get excited about using cutting-edge lasers, radar, and lidar tech and building advanced machine learning algorithms that process billions of data points, you should join our team. 

As Head of Data Science you will be leading some of the most technical teams with the widest skill sets at Density. Everything from our machine learning algorithms on the embedded devices, to the cloud software the CS & Engineering team use to evaluate our accuracy and performance, will be under your supervision.


Who you are:

You thrive when developing great people, not just great products
You have experience in cultivating a strong engineering culture in an agile environmen
tYou have previous experience developing large scale production ML systems
You are either an experienced manager or a senior individual contributor with strong people skills and leadership experience
You have previous industry experience with large scale ML systems using frameworks such as PyTorch, Tensorflow, and Scikit-learn
You're familiar with the industry trends and keep up with the latest product offerings, and can understand trade-offs of existing solutions
Ideally, you're actively engaged in the ML community (open source, meetups)  



The ideal candidate will have:

5+ years experience working as a Machine Learning Engineering Manager
3+ years experience as a software engineer focused on ML and Algorithm tooling
Experience with embedded systems and hardware engineering (Buildroot / Linux)
Experience with Cloud APIs and Software Application development (Django / Python)



What we bring:

A team hailing from places like Apple, LinkedIn, Stripe, Cisco Meraki, Hashi Corp, WeWork, NASA, & beyond.
$227 million raised from investors like Kleiner Perkins, Founders Fund, and Upfront Ventures.
A work environment full of fun, smart, talented, dedicated, and truly kind teammates.
Our values are be humble, seek feedback, and always solve the fundamental problem. These values are hard to achieve but we aspire to them daily.
Excellent benefits including medical, dental, vision, mental and reproductive health,  401K, equity, Flex Fridays, Remote Friendly, unlimited and mandatory PTO, and more.



We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.