Flock Safety

51-200 employees
Flock Safety’s mission is to eliminate crime. Our neighborhood license plate reader gives police the evidence to solve crime while protecting privacy.

Machine Learning Engineer

Machine Learning Engineer

Eliminate Crime. Build Community. 

Flock Safety provides a public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society. 

Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere.  Our technology detects and captures objective details, decodes evidence in real-time and delivers investigative leads into the hands of those who matter. 

While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We are well funded by Meritech Capital, Initialized Capital, YCombinator, Matrix Partners, BedRock Capital, and Founders Fund - and we're scaling quickly.

About the opportunity

As an IoT Software / Machine Learning Engineer you will work hand-in-hand with the Device and Machine Learning group to push our IoT ML capabilities to the limit. You will lead the design, optimization and productionization of our IoT models and its processing application to help determine hardware requirements, extend the types of evidence we can capture, and optimize the quality and latency of the evidence we deliver to our customers. 

Some challenges you’ll tackle

  • Design, analyze, and optimize models for the device they will run on
  • Analyze and report accuracy / latency trade-offs for model choices
  • Design and write highly performant processing pipeline applications
  • Test model performance on various accelerators and SoMs 
  • Design and develop testing software to evaluate product capabilities and requirements

About You

  • Java / C++ experience (5+ years)
  • Python experience (5+ years)
  • Experience developing IoT / Embedded ML applications (3+ years)
  • Experience training and optimizing IoT ML models (3+ years)
  • Basic git knowledge
  • Able to take on complex problems, learn quickly, iterate, and persist towards a good solution
  • Effectively communicate, at the level of your audience, and seek to understand and be understood

Why join the Flock? 

When you join the Flock, you are joining a diverse team of passionate, ambitious, intelligent people that put the team over self. We offer competitive salary, benefits, and the opportunity to grow your career at a fast-paced, high growth start up. We genuinely care about the well-being of our employees both in and out of the office and understand the importance of work/life balance. We’d love for you to join us in the fight to eliminate non-violent crime, one neighborhood at a time.

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