Machine Learning Engineer, Flock Safety
Maintenance
$117-171k
Offers Equity
Public safety operating system
Be an early applicant
Public safety operating system
501-1000 employees
Be an early applicant
$117-171k
Offers Equity
501-1000 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
- BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhD’s 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
What the job involves
- Flock Safety is a leading public safety company dedicated to eliminating crime through a full-service offering of hybrid hardware and software systems
- As a Machine Learning Engineer you will support the machine learning model lifecycle that allows our devices to decode evidence like a detective and define how crime is eliminated
- As an ML Engineer on the Maintenance Team, you will play a key role in improving model performance and addressing model drift
- 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 Software Engineer at Flock Safety
- The First 30 Days
- Onboard and Integrate:
- Familiarize yourself with the company's mission, products, and development processes
- Build relationships with key stakeholders to understand their needs and expectations. Meeting with a member of the following teams:
- Machine Learning
- Data Engineering
- Product
- Complete improvements/experiments pertaining to customer issues
- The First 60 Days
- Regularly monitor and analyze the performance of deployed machine learning models
- Work with ML Maintenance team to prioritize and resolve customer issues
- 90 Days & Beyond
- Ability to perform role with little guidance with transparency
- Communicating across multiple teams to solve problems efficiently
- Be comfortable picking up engineering tasks of larger size and more ambiguity
Application process
- We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way
- 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
- The Technical Assessment: You will meet with a potential future coworker to really dive into the role, the team, expectations, and what success means at Flock. You should expect the interview will cover the hard skills required to do the job, an architectural discussion, and an exploration of your past accomplishments and experiences. This is your chance to really nerd out with someone in your field
- The 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. You will meet with several teammates and cross-functional partners. Engineers should expect a technical assessment through coding interviews or architecture discussions. Your recruiter will provide more details to ensure you are fully prepared for your big day
- The Executive Review: A chance to meet a leader within the Machine Learning team. They will be looking to get to know you better, understand your motivations, and understand your technical 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.
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