Flock Safety

Senior Embedded Machine Learning Engineer

United States

$175,000 – $200,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Public Safety, Biotechnology, SecurityIndustries

Sr. Embedded ML Engineer

Salary: $175K - $200K Employment Type: Full-Time Location Type: Remote

About Flock Safety

Flock Safety is an all-in-one technology solution dedicated to eliminating crime and enhancing community safety. Our intelligent platform leverages the collective power of cities, businesses, schools, and law enforcement agencies to build a safer future. We provide a comprehensive, maintenance-free technology solution trusted nationwide to help solve and deter crime, ultimately creating safer communities for everyone.

Our holistic public safety platform is designed to be comprehensive and intelligent, delivering actionable evidence to solve, deter, and reduce crime across neighborhoods, schools, businesses, and entire cities. We achieve this without compromising transparency or privacy, transforming unbiased data into objective answers.

Flock aims to provide a career-defining experience where you can make a tangible impact on your community. While safety is our core business, we foster a supportive team environment that optimizes the remote experience, cultivating strong and fulfilling relationships despite physical distance. Our dedicated employees thrive in a positive and inclusive culture that rewards a bias towards action.

We have secured over $700M in venture capital funding from prominent investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Bedrock Capital, Meritech Capital Partners, and Initialized Capital. With a valuation exceeding $7.5B, Flock is undergoing intentional scaling and is seeking top talent to help us achieve our goal of reducing crime in the United States by 25% within the next three years.

The Opportunity

As a Sr. Embedded ML Engineer, you will play a crucial role in developing the software that powers Machine Learning on our rapidly expanding fleet of deployed devices. You will collaborate closely with our Device, Imaging, and ML Modeling teams. Your responsibilities will include the design, development, testing, and productionization of our embedded systems and their associated applications. This will involve contributing to hardware requirement determination, expanding the scope of evidence capture, and enhancing the quality and speed of evidence delivery to our customers.

You will work in tandem with technical leaders to implement system components and develop robust testing frameworks. These frameworks will be essential for validating the functionality, performance, and integration of our Kotlin-based embedded codebase. While experience with model development or optimization is not a prerequisite for this role, a deep understanding of embedded systems and software quality assurance through automated testing is essential.

Skillset Requirements

  • Strong proficiency in Kotlin, with demonstrated experience in building applications.
  • 6+ years of professional engineering experience, including at least 3 years of experience with C++ production-grade applications or systems.
  • Experience designing and developing testing frameworks, automated test suites, or continuous integration pipelines to ensure code quality and system reliability.
  • Solid understanding of embedded systems programming and constraints.
  • Familiarity with system-level debugging and performance profiling tools.
  • Ability to tackle complex technical problems independently, learn new technologies quickly, and deliver high-quality solutions iteratively.
  • Effective communication skills tailored to both technical and non-technical audiences.

Desired Qualifications (Plus, but not required)

  • Experience with Android SDK/NDK, particularly integrating Kotlin with native C++ code.
  • Exposure to build systems such as CMake and Docker-based workflows.
  • Familiarity with cloud environments such as AWS for testing infrastructure or deployment.
  • Background in image/video processing or graphics APIs (OpenGL, Vulkan).

We understand that you might not meet every single qualification. If you're excited about this role and believe you can make a significant contribution, we strongly encourage you to apply. We value diverse perspectives and are committed to building a team where everyone feels empowered to succeed.

90 Days at Flock

We operate with a results-oriented culture, and we believe traditional job descriptions are a thing of the past. Our focus is on driving tangible outcomes.

Skills

Embedded Systems
Machine Learning
Software Development
C++
Python
Linux
RTOS
Computer Vision
Deep Learning
Model Optimization
Hardware Integration

Flock Safety

License plate reader cameras for crime prevention

About Flock Safety

Flock Safety provides a system aimed at enhancing public safety through crime prevention while ensuring privacy and reducing bias. The main product is a network of license plate reader cameras that capture essential vehicle information, which helps in solving crimes. These cameras utilize machine learning technology to ensure that the data collected is objective and ethically used. Flock Safety serves a variety of clients, including neighborhoods, businesses, and law enforcement agencies in over 1,000 cities. The company operates on a subscription model, where clients pay for the installation, maintenance, and access to data and analytics. This approach not only generates a steady revenue stream but also allows clients to benefit from ongoing updates and support. Flock Safety's goal is to create safer communities by providing effective crime prevention tools that respect individual privacy and foster trust between the public and law enforcement.

Atlanta, GeorgiaHeadquarters
2017Year Founded
$372.2MTotal Funding
SERIES_ECompany Stage
Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Unlimited PTO
12 paid holidays
Fully-paid health benefits
16 weeks of parental leave
Work from home allowance
Learning & development stipend
Home office stipend

Risks

Privacy concerns may lead to legal challenges affecting ALPR technology operations.
Integration of drone technology may increase operational costs and financial strain.
Economic downturns could reduce client spending on subscription-based services.

Differentiation

Flock Safety integrates ALPR cameras with AI for unbiased crime-solving data.
The company offers a full-service, maintenance-free technology solution for public safety.
Flock Safety's platform combines community power to enhance safety across cities and businesses.

Upsides

Acquisition of Aerodome enhances drone technology for public safety solutions.
Partnership with MS2 expands AI Traffic Analytics capabilities for state agencies.
Solar-Powered Condor video solutions increase market penetration in infrastructure-lacking areas.

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