Machine Learning Manager, Modeling

Atlanta, GA or Remote

Flock Safety

From creating safer neighborhoods to protecting employees and property, we help you deter and solve crime with tools customized and scaled to your needs.

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Company Overview

Flock Safety provides the first 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 have raised over $380M in venture capital including a recent Series E round led by Tiger Global.  Now surpassing a 3B valuation, Flock is scaling quickly and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.

Additional Information 

About the opportunity

Flock’s Machine Learning Modeling team designs and develops models that decode evidence streams into focused information to help effectively and equitably solve crime. Reporting to the Director of Machine Learning, you will lead a team of high-performing distributed (in the US) ML Engineers and Data Scientists, and drive the strategy and execution of machine learning features that power Flock’s products, working closely with other Engineering and Product teams. This is a hands-on role, where you are expected to balance people management, project management, as well as some coding.

Some challenges you’ll tackle

  • Help build the vision and roadmap for how Machine Learning is used at Flock and manage its execution
  • Break down project goals into tasks with clear milestones
  • Work with engineers to refine scope and discover the most straightforward path to success
  • Provide technical guidance to help deliver state of the art solutions
  • Coach and mentor engineers 
  • Work with the Machine Learning Infrastructure team to help understand what databases, tooling, and automation they should build to accelerate ML at Flock
  • Collaborate across teams to deliver solutions that fit within business requirements
  • Design and report KPIs concerning deployed solutions

About You

  • BS/MS/PhD in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience
  • 3+ years experience managing engineering teams
  • 5+ years Machine Learning experience
  • Experience building, deploying, monitoring, and improving Machine Learning solutions
  • Strong experience writing and maintaining Python projects in a team environment
  • Effective oral and written communication skills
  • Basic SQL knowledge
  • Basic git knowledge

Our Values 

Our values define how we approach our work every single day: 

  • Do the Work 
  • Optimism With a Plan 
  • Embrace Change to Grow
  • Protect the Whole Community 

To read more about our values, click here

Why Join Us?

  • We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more. 
  • 94% of employees recommend working at Flock Safety 
  • Incredible product-market fit. Flock fits that “goldilocks” set of price, functionality, and service
  • We are scaling quickly and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years. 
  • Uniquely mission-driven company. Making communities safer through objective, evidence-based technology. 

Key Stats

  • 3% of crimes in the US are solved by Flock
  • Flock cameras help solve ~200 crimes/day
  • 70% of all crime involves motor vehicles
  • 2100+ cities with private cameras
  • 1500+ agency relationships across the US
  • 1B+ images processed a month (we process more images than Instagram)

Employee Benefits

  • Every full-time employee receives equity (stock options) in the company 
  • We offer unlimited PTO and twelve paid holidays (Your Birthday, New Year’s Day, MLK Jr Day, Memorial Day, Juneteenth, Fourth of July, Labor Day, Thanksgiving, Day After Thanksgiving, Christmas Eve, Christmas Day, and New Year’s Eve)
  • We offer fully-paid health benefits plan for employees, including Medical, Dental and Vision
  • We provide 16 weeks of 100% paid leave for primary caregivers and six weeks of 100% paid leave for secondary caregivers 
  • We provide $150 per month work from home allowance 
  • We provide a $250 per year L&D stipend that can be used on Audible, Calm, Masterclass, Duolingo, and so much more
  • Each new hire receives a one-time stipend of $750 to assist with expenses that come with setting up a home office
  • We provide employees who are not local to the ATL headquarters with coworking space access paid for by Flock 

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.

Tags: Computer Science Engineering Git KPIs Machine Learning Mathematics ML infrastructure PhD Physics Privacy Python SQL

Perks/benefits: Career development Equity Health care Home office stipend Medical leave Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  23  1  0

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