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Flock Safety

Senior Embedded Machine Learning Engineer

remote•Atlanta•$170k - $200k+ Stock options

Summary

Location

Atlanta

Salary

$170k - $200k

Equity

Stock options

Workplace

Remote

Experience

6+ years

Visa

US citizen/visa only

Company links

WebsiteLinkedInLinkedIn

This position is no longer available

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About this role

About Flock Safety

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 $150M in our Series E led by Tiger Global at a $3.5B valuation.

The Role

As an Embedded ML Engineer, you will work closely with our Device, Imaging, and ML Modeling teams to develop the software that runs ML on our fast growing fleet of deployed devices. You will help lead the design, development, testing, and productionization of our embedded models and its surrounding applications to help determine hardware requirements, extend the evidence we can capture, and improve the quality and speed the evidence we deliver to our customers.

How you'll make an impact

Design and develop highly performant video processing pipeline applications, running multiple ML models

Profiling embedded ML applications to discover areas of optimization

Writing computer vision operations to work on accelerators (GPU or DSP)

Developing methods to amortize expensive computer vision and machine learning algorithms over video streams

Design and develop testing software to evaluate product capabilities and requirements

Test model performance on various accelerators and SoMs

We're looking for people who

6+ years C/C++ experience

Experience in one or more of the following: OpenGL/Vulkan/CUDA OpenCV Image/Video process (Color/Depth Conversion, Scaling/Translating, etc.) Deep Learning/Computer Vision 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

Beneficial Experience

Android SDK/NDK Java/Kotlin Cmake Docker AWS

Why Join Us?

Can you imagine a world without crime? We can. Our mission is simple, to eliminate crime. We pride ourselves on building a community of low-ego and easy to work with people. What makes Flock Safety special is a combination of interesting work, a compelling mission, and a chance to change the trajectory of your career. We are at a unique inflection point where, after a few (or many!) short years here, we know you will accelerate your career and look back fondly on your time with us and the work you did to make your community safer.

Salary & Equity

In this role, you’ll receive a starting salary of $170,000-$195,000 as well as stock options

Technology Main Stack

Typescript (Node.js), React, Golang, Postgres, Elastic, Dynamo. Hosted on AWS (k8s, sns) using Docker. Camera Firmware: Embedded Android running on a custom PCB that we develop in house. Machine Learning: Pytorch, TensorFlow, TF Serving, Computer Vision, Kubernetes.

What you'll do

  • Design and develop highly performant video processing pipeline applications, running multiple ML models
  • Profiling embedded ML applications to discover areas of optimization
  • Writing computer vision operations to work on accelerators (GPU or DSP)
  • Developing methods to amortize expensive computer vision and machine learning algorithms over video streams
  • Design and develop testing software to evaluate product capabilities and requirements
  • Test model performance on various accelerators and SoMs

About Flock Safety

About Flock SafetyFlock 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.

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Frequently Asked Questions

What does Flock Safety pay for a Senior Embedded Machine Learning Engineer?

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Flock Safety offers a competitive compensation package for the Senior Embedded Machine Learning Engineer role. The salary range is USD 170k - 200k per year, plus Stock options equity. Apply through Clera to learn more about the full compensation details.

What does a Senior Embedded Machine Learning Engineer do at Flock Safety?

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As a Senior Embedded Machine Learning Engineer at Flock Safety, you will: design and develop highly performant video processing pipeline applications, running multiple ML models; profiling embedded ML applications to discover areas of optimization; writing computer vision operations to work on accelerators (GPU or DSP); and more.

Is the Senior Embedded Machine Learning Engineer position at Flock Safety remote?

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Yes! The Senior Embedded Machine Learning Engineer position at Flock Safety is a remote role, with team members based in Atlanta, United States. Apply through Clera to learn more about their remote work policies.

How do I apply for the Senior Embedded Machine Learning Engineer position at Flock Safety?

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You can apply for the Senior Embedded Machine Learning Engineer position at Flock Safetydirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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