Senior Machine Learning Engineer, Flock Safety
Computer Vision
$160-175k
Offers Equity
More information about location
Public safety operating system
Open for applications
Public safety operating system
1001+ employees
Open for applications
$160-175k
Offers Equity
More information about location
1001+ employees
Company mission
To create safer, happier communities and cities by pre-emptively fighting crime.
Role
Who you are
- The ideal candidate is someone who is passionate about taking cutting edge research and technology to solve new problems, and enjoys working with the entire lifecycle of Machine Learning software
- 6+ years of experience
- BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhDâs welcome)
- Experience solving problems using Machine Learning frameworks (Tensorflow, PyTorch, scikit-learn, etc.)
- Good understanding of Deep Learning and Traditional ML (supervised and unsupervised) algorithms
- Experience writing Python in a team environment
- Able to take on complex problems, learn quickly, iterate, and persist towards a good solution
- Effectively communicate, at the level of your audience, and seek to understand and be understood
- Basic SQL knowledge
- Basic Git knowledge
- Experience with linear algebra, probability, and statistics preferred
- Feeling uneasy that you havenât ticked every box? Thatâs okay; weâve 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
What the job involves
- As a Senior Machine Learning Engineer on the Vision Team, you will support the machine learning model lifecycle that allows our devices to decode evidence like a detective and define how crime is eliminated
- You will play a key role in improving model performance and addressing model drift
- Frame open-ended, real-world problems into well defined ML problems
- Make use of and improve on existing data acquisition and model training/evaluation pipelines to create appropriate datasets and obtain model feedback
- Leverage cutting-edge research and technology to create custom solutions
- Design and run experiments to test new ideas or improvements to existing models
- Build visualization and monitoring tools to evaluate the quality of our data and models
- Collaborate across teams and product to deliver solutions that fit within business and organizational requirements
- Review code of other Machine Learning Engineers
- The First 30 Days
- Learn our tech stack, internal toolkit, and standard operating procedures for training, evaluating, and deploying our machine learning models
- Get to know the technical teams and stakeholder groups youâll be working closely with
- Begin making a meaningful impact by adding an incremental improvement to our model evaluation reports
- The First 60 Days
- Curate our holdout data to improve representation and address certain challenging strata
- Improve statistical reporting metrics in our evaluation reports
- Get acquainted with downstream repositories that support our predictive capabilities
- 90 Days & Beyond
- Improve understanding of the impact of data augmentations in our training pipeline
- Introduce new augmentations within our modeling framework
- Gauge model robustness by building holdout datasets for various adversarial conditions
- Become fully independent within our end-to-end training and deployment pipeline
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. It's caught on too, with a funding round of $275 million awarded in 2025 that will be used to expand its manufacturing capabilities. lock Safety, a U.S. startup developing surveillance technology, has raised $275 million in new funding led by Andreessen Horowitz, as it invests in a manufacturing facility and expands into drone products, the company told Reuters. funding behind it, 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 10 rounds)
Mar 2025
$275m
LATE VC
Mar 2024
$200m
SERIES G
Total funding: $857.8m
Company benefits
- đ´Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
- âď¸Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match
- đŞFamily Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers
- đźFertility & 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
- đ§ Mental Health: All employees receive an annual subscription to Headspace
- đCaregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
- đ¸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions
- đťWFH Stipend: $150 per month to cover the costs of working from home
- đL&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more
- đ Home Office Stipend: A one-time $750 to help you create your dream office
- đ˘Coworking Space: If youâre not local to our ATL HQ, weâll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area)
- đžPet Insurance: Weâve partnered with Pumpkin to provide insurance for our employeeâs fur babies
Company HQ
Home Park, Atlanta, GA
Leadership
Garrett Langley
(Founder & 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.
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