Senior Machine Learning Engineer

United States

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$175,000 – $200,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Public Safety, Biotechnology, SecurityIndustries

Requirements

The ideal candidate will possess over 5 years of industry experience in Deep Learning and Computer Vision, with a strong background in Computer Vision modeling techniques such as Object Detection and Image Classification. Experience with metric learning, contrastive learning, and embedding-based ReID models is required, as is experience working with hybrid systems of deployed devices and cloud processing. Proficiency in Python, SQL, Git, and Bash, along with a proven track record of leading projects from R&D to production, are essential qualifications.

Responsibilities

The Senior Machine Learning Engineer will be responsible for architecting and deploying large-scale, real-time, and accurate computer vision models. This role involves close collaboration with research scientists, ML engineers, infrastructure teams, and operations to develop high-performance systems for license plate and vehicle detections. Responsibilities include gathering data to support model growth and expansion, researching new features for the license plate model, owning experiments, expanding the License Plate model, and monitoring model performance in production while iterating on improvements.

Skills

Machine Learning

LPR

Video Products

Python

TensorFlow

PyTorch

Cloud Platforms

AWS

GCP

Azure

Data Engineering

Software Development

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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