Senior ML Engineer, Enrichment

Flock Safety

34d•$160,000 - $175,000•Remote

About The Position

Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation. We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact. With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you. 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. 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.

Requirements

6+ years of experience
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

Nice To Haves

Experience with linear algebra, probability, and statistics preferred

Responsibilities

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

Benefits

Flexible PTO: We offer non-accrual PTO, 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 four ERGs today - Women of Flock, Flock Proud, LEOs 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: $300 per year to use on Audible, Calm, Masterclass, Duolingo and so much more.
Home Office Stipend: A one-time $750 to help you create your dream office.