Senior Machine Learning Engineer

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

Position Overview

Flock Safety is a leading public safety company dedicated to eliminating crime through a full-service offering of hybrid hardware and software systems. Our intelligent platform combines the power of communities at scale to shape a safer future together. As a Senior Machine Learning Engineer, you will play a critical role in architecting and deploying large-scale, real-time, and accurate computer vision models. You will work closely with research scientists, ML engineers, infrastructure teams, and operations to develop high-performance systems for license plate and vehicle detections.

About Flock Safety

Flock Safety is an all-in-one technology solution to eliminate crime and keep communities safe. Our intelligent platform combines the power of communities at scale - including cities, businesses, schools, and law enforcement agencies - to shape a safer future together. Our full-service, maintenance-free technology solution is trusted by communities across the country to help solve and deter crime in the pursuit of safer communities for everyone.

Our holistic public safety platform is comprehensive and intelligent, providing the actionable evidence needed to solve, deter and reduce crime across neighborhoods, schools, businesses and entire cities. Without compromising transparency or privacy, we are turning unbiased data into objective answers.

Flock strives to offer a career-defining experience where you can also make an impact on your community. While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fulfilling relationships even when we are physically apart. Our group of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded.

We have raised over $700M in venture capital from investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Bedrock Capital, Meritech Capital Partners, and Initialized Capital. Now surpassing a $7.5B valuation, Flock is scaling intentionally 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.

Requirements

• 5+ years of industry experience in Deep Learning and Computer Vision
• Experience with Computer Vision modeling, such as Object Detection and Image Classification
• Experience in metric learning, contrastive learning, and embedding-based ReID models
• Experience in working with hybrid systems of deployed devices working with cloud processing
• Strong experience in Python
• Experience leading projects from R&D to production
• Experience with SQL, Git and Bash

We encourage you to break the status quo and apply to roles that would make you excited to come to work every day, even if you haven’t ticked every box.

Responsibilities

• Architect and deploy large-scale, real-time, and accurate computer vision models.
• Work closely with research scientists, ML engineers, infrastructure teams, and operations.
• Develop high-performance systems for license plate and vehicle detections.
• Gather data to support model growth and expansion.
• R&D new features for the license plate model.
• Own experiments and expand the License Plate model.
• Monitor model performance in production and iterate on improvements.

90 Days at Flock

We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe to 90-day plans and believe that good days lead to good weeks, which lead to good months. This serves as a preview of the 90-day plan you will receive if you were to be hired in this role at Flock Safety.

The First 30 Days

• Meet the team & cross-functional stakeholders.
• Understand the systems and processes in place that Engineering uses, and leverage them to produce additional value.
• Focus on setup and onboarding to deliver value.

The First 60 Days

• Gather data to support model growth and expansion.
• R&D a new feature for the license plate model.

90 Days & Beyond

• Start owning experiments.
• Expand the License Plate model.
• Monitor model performance in production and iterate on improvements.

Application Instructions

• Please refer to the interview process outlined in the job description.