Staff Machine Learning Engineer, Flock Safety
$190-240k
Offers Equity
SQL
Python
Bash
Git
Senior and Expert level
Remote in US
Public safety operating system
Open for applications
Public safety operating system
501-1000 employees
B2BSecurityMachine LearningCommunity
Open for applications
$190-240k
Offers Equity
SQL
Python
Bash
Git
Senior and Expert level
Remote in US
501-1000 employees
B2BSecurityMachine LearningCommunity
Company mission
To create safer, happier communities and cities by pre-emptively fighting crime.
Role
Who you are
- The ideal candidate is someone with experience in developing machine learning and custom algorithms for video processing and other related computer vision domains in diverse environments
- BS/MS/PhD in Computer Science, Industrial Engineering, Mathematics, Physics, etc
- 7+ years of industry experience solving Machine Learning, Deep Learning, and/or Computer Vision problems
- Experience developing and maintaining end-to-end Machine Learning production processes, including data modeling, algorithm development, testing, and metric tracking
- Strong Python experience writing modeling, algorithms, libraries, and services
- Strong project management skills, breaking down work into tasks and milestones, providing recurring status updates to stakeholders
- Experience with SQL
- Basic git knowledge
- Basic bash knowledge
What the job involves
- As a Staff ML Engineer in Video Analytics (part of the Vision team), you will research and develop models and algorithms that allow our devices to decode video evidence like a detective
- 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 Structural Engineer Flock Safety
- The First 30 Days
- Shadow with an ML Engineer solving a customer issues, understand all the systems involved in the ML development lifecycle at Flock
- Start your first project:
- Work with PM to understand what is needed
- Work with Embedded ML to understand runtime constraints
- Perform due diligence and report on existing research, models and data available to leverage
- Determine what modeling paths to attempt
- Determine what data may be necessary for the project
- Work with ML Tooling to develop an annotation tool for this
- Set up the workspace repo for the modeling R&D
- Co-pilot with an ML Engineer on at least 2 tasks
- The First 60 Days
- Find available data to start model development
- Model how the data will be retained in the database
- Develop an initial model and evaluation results
- Continue reviewing relevant literature determining best approaches (review at least 5 papers, providing summary)
- Review at least 3 PRs from ML Engineers’ work
- Co-pilot with an ML Engineer on at least 1 task
- 90 Days & Beyond
- Create active learning pipeline and tools to intake and review new data, incorporating it into modeling datasets
- Iteratively retrain model with new data (and making other changes), tracking performance improvements
- Report results to product demo meeting, specifying
- What work was performed
- Accuracy and supporting samples
- What you are planning to do next to improve accuracy/representation
- Develop monitoring and alerts for the new prediction to make sure that the quality of the model is retained over time and new deployments
- Work with Embedded ML to develop validation tests
- Continue reviewing relevant literature determining best approaches (review at least 5 papers, providing summary)
- Review at least 3 PRs from ML Engineers’ work
- Co-pilot with an ML Engineer on at least 1 task
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 Hiring Manager Interview: You will meet with your potential future boss to really dive into the role, the team, expectations, and what success means at Flock. This is your chance to really nerd out with someone in your field
- The Technical Assessment: Our technical assessments seek to test the hard skills required to do the job. Engineers may find themselves in coding interviews or architecture discussions, sales roles may present mock discovery calls, and leadership roles may craft 90 day plans. Your recruiter will inform you of which assessment you will be assigned and ensure you are fully prepared for your big day
- 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. 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: A chance to meet an executive and view Flock from a different lens. 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
Top investors
Some candidates hear
back within 2 weeks
40% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Feb 2022
$150m
SERIES E
Jul 2021
$150m
SERIES D
Total funding: $382.7m
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 values
- Embrace change to grow - The only “status quo” at Flock Safety are the outdated systems we plan to disrupt. Our employees know the importance of scaling a business that can continue to serve our growing number of customers and communities. We make a plan, but pivot for the greater good.
- Do the work - We value bias towards action and share a strong commitment to solving problems quickly. No task is beneath any of us, and we always go above and beyond to make communities safer.
- Optimism with a plan - Our teams and leaders set lofty goals, but not without thorough planning and sustained accountability. Here at Flock, you contribute to a positive and supportive workplace while benefiting from a high-performance culture.
- Protect the whole community - Our job at Flock is to positively impact all citizens of a community. Our technology impacts millions of lives of people we will never meet, and that is a serious responsibility.
Company HQ
Home Park, Atlanta, GA
Articles
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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