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 &ML 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 &ML, 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 environment
- You 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)
Data source
Stack Overflow