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.
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. 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
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.
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.
In this role, you’ll receive a starting salary between $117,000 and $171,000 as well as Flock Safety Stock Options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat.
🌴Flexible PTO: We seriously mean it, plus 11 company holidays.
⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.
🧠Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.
💖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.
💚ERGs: We want all employees to thrive and feel like they belong at Flock. We offer three ERGs today - Women of Flock, Flock Proud, and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.
💻WFH Stipend: $150 per month to cover the costs of working from home.
📚Productivity 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.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at careers@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at careers@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.
Yearly based
Remote - USA
