Senior Machine Learning Engineer, Flock Safety
Multi-Object Tracking
$165-200k
Offers stock options
Public safety operating system
Be an early applicant
Public safety operating system
501-1000 employees
Be an early applicant
$165-200k
Offers stock options
501-1000 employees
Company mission
To create safer, happier communities and cities by pre-emptively fighting crime.
Role
Who you are
- 5+ years of industry experience in Deep Learning and Computer Vision
- Experience with Computer Vision modeling, such as Object Detection, Multi-Object Tracking, etc
- Experience in metric learning, contrastive learning, and embedding-based ReID models
- Experience with integrating tracking algorithms like SORT, DeepSORT, ByteTrack, FairMOT, or graph-based tracking into systems
- Knowledge of probabilistic models (e.g., Kalman Filters, Bayesian filtering) and trajectory prediction
- 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
- Basic Git knowledge
- Basic Bash knowledge
- Our First Chat: During this first conversation, you’ll meet with a recruiter to chat through your background, what you could bring to Flock, what you are looking for in your next role, and who we are
- Engineering Manager Interview: You will meet with Engineering leadership to really dive into the role, the team, expectations, and what success means at Flock. You should expect the interview will cover your product experience, guiding strategy, stakeholder communication, & launch experience. This is your chance to really nerd out with someone in your field
- Panel: Learn more about the team, responsibilities, and workflows. You should be prepared to speak about past projects, how you collaborate and communicate with others, and how you live our values. Depending on the team and role you are interviewing for, you may meet with several teammates as well as cross-functional partners
- The Executive Review: An opportunity to meet leaders within the ML organization. They will be looking to get to know you better, understand your motivations, and understand your background. Be prepared to ask well-thought-out questions about the company, culture, and more
What the job involves
- As a Senior Machine Learning Engineer in Object Tracking, you will play a critical role in architecting and deploying large-scale, real-time, and accurate multi-object tracking solutions
- You will work closely with research scientists, ML engineers, infrastructure teams, and operations to develop high-performance systems for tracking people, vehicles, or other objects
- 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
- Understand the systems and processes in place that Engineering uses, and leverage them to produce additional value
- The First 60 Days
- Start Monitoring performance in production
- Perform a small improvement to R&D environment
- 90 Days & Beyond
- Work on tracking tickets
- Start owning experiments
Application process
- Our First Chat: During this first conversation, you’ll meet with a recruiter to chat through your background, what you could bring to Flock, what you are looking for in your next role, and who we are
- Engineering Manager Interview: You will meet with Engineering leadership to really dive into the role, the team, expectations, and what success means at Flock. You should expect the interview will cover your product experience, guiding strategy, stakeholder communication, & launch experience. This is your chance to really nerd out with someone in your field
- Panel: Learn more about the team, responsibilities, and workflows. You should be prepared to speak about past projects, how you collaborate and communicate with others, and how you live our values. Depending on the team and role you are interviewing for, you may meet with several teammates as well as cross-functional partners
- The Executive Review: An opportunity to meet leaders within the ML organization. They will be looking to get to know you better, understand your motivations, and understand your background. Be prepared to ask well-thought-out questions about the company, culture, and more
Our take
Public vehicle surveillance provides valuable insights to emergency services for the prevention of crime, but bringing information together to create leads is difficult. There's no standardised system for inter-city vehicle surveillance, and this makes it difficult for communities and law enforcement services to work together.
Flock Safety provides surveillance equipment that aims to improve the abilities of law enforcement and homeowner associations to communicate data with each other. The company focuses on vehicle surveillance, innovating on existing technology by using machine learning to categorise vehicles by color, license plate, state, and other data points.
Whilst automated surveillance equipment is used daily within federal police forces, Flock Safety builds technology systems that provide a means for smaller law enforcement agencies to quantify and share surveillance data easily. This data can then be automatically processed to help develop leads, a time-consuming process that would usually have to be completed manually.
Steph
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Mar 2025
$275m
LATE VC
Mar 2024
$200m
SERIES G
Total funding: $857.7m
Company benefits
- 🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
- ⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match
- 👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers
- 🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility
- 🧠Mental Health: All employees receive an annual subscription to Headspace
- 💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
- 💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions
- 💻WFH Stipend: $150 per month to cover the costs of working from home
- 📚L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more
- 🏠Home Office Stipend: A one-time $750 to help you create your dream office
- 🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area)
- 🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies
Company HQ
Home Park, Atlanta, GA
Leadership
Garrett Langley
(CEO)They worked in Computer Services freelance for over 6 years before joining Firethorn in 2015, and Clutch Technologies in 2014. They left their position as President of Moment LLC to found Flock Safety in April 2017.
Share this job
View 35 more jobs at Flock Safety