Senior Embedded Machine Learning Engineer

United States

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$175,000 – $200,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Public Safety, Biotechnology, SecurityIndustries

Requirements

Candidates must possess strong proficiency in Kotlin and at least 6 years of professional engineering experience, including 3+ years with C++ production-grade applications or systems. Experience designing and developing testing frameworks, automated test suites, or CI pipelines is essential, along with a solid understanding of embedded systems programming and constraints. Familiarity with system-level debugging, performance profiling tools, and effective communication skills are also required. Experience with Android SDK/NDK, CMake, Docker, AWS, and image/video processing or graphics APIs are considered a plus.

Responsibilities

The Senior Embedded Machine Learning Engineer will develop software for ML on deployed devices, collaborating with Device, Imaging, and ML Modeling teams. Responsibilities include designing, developing, testing, and productionizing embedded systems and their applications to define hardware requirements, enhance captured evidence, and improve evidence delivery quality and speed. The role involves implementing system components, developing testing frameworks to validate functionality, performance, and integration of Kotlin-based embedded code, and ensuring code quality and system reliability through automated testing.

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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