Who is Flock?

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.

The Opportunity

Flock’s LPR and Video devices detect and track objects to provide its customers with the best information to make actionable decisions. The detection and tracking models that are used in these devices need to handle a myriad of different environments, lens configurations, fields of view, and purposes, all within power constraints and hardware limitations across diverse product lines including fixed position LPR, mobile LPR, video security cameras, and drones. As Staff ML Engineer, Object Detection and Tracking, you will be part of a small time responsible for the design, training, evaluation, management, and integration of these sets of models to achieve optimal performance.

The Skillset 

• 7+ years of industry experience in Machine Learning with a focus on Object Detection and Tracking, or related Computer Vision Deep Learning modeling.

• Strong proficiency in PyTorch and/or Tensorflow for training deep learning models.

• Deep understanding of Deep Learning model concepts, such as convolutional networks, transformers, attentions, losses, learning rates, etc.

• Good understanding of traditional ML (supervised and unsupervised) algorithms.

• Experience tuning and optimizing models for running efficiently on IoT devices.

• Strong software engineering skills in Python.

• Experience with SQL.

• Basic Git knowledge.

• Basic Bash knowledge.

• Nice to have experience in running models on Qualcomm devices.

• Nice to have C++ experience.

Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.

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 as a Senior Data Engineer at Flock Safety. 

The First 30 Days

• Meet the team & cross-functional stakeholders 

• One major cultural component within Flock’s engineering teams is the “first day push”. The first day push focuses setup and onboarding to the things that matter to deliver value.

•  Review modeling code and infrastructure and understand how to use the modeling and data systems by training an object detection model

The First 60 Days 

• Improve Detection and Tracking of People in Flock Video Product

• Perform a small improvement to R&D environment

90 Days & Beyond 

• Improve Detection and Tracking of People in Flock Video Products

• Improve Detection and Tracking for Drones

• Investigate and resolve known modeling issues

The Interview Process 

We want our interview process to be a