Senior ML Engineer, Enrichment

Senior ML Engineer, Enrichment WHO IS FLOCK? 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. The Opportunity 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. How you'll make an impact: - 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 Skillset - 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 - Experience with linear algebra, probability, and statistics preferred Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve 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. 90 Days at Flock We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe 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 in this role at Flock Safety. 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 you’ll 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 represent ... (truncated, view full listing at source)