Senior Software Engineer, ML Platform

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 Machine Learning team at Flock Safety leverages various software and infrastructure to support the development and deployment of models. This platform has been created from the effort and creativity of ML, Software, and Site Reliability Engineers. Given the current scale of ML, we are looking for a foundational Senior Software Engineer, ML Platform to solely focus on the ML platform. Your mission is to improve the software, infrastructure, and systems that enable ML Engineers to research, develop and deliver intelligence products, as well as working with Cloud Platform on maintaining and improving ML inference services. An ideal candidate has a good breadth of experience of software, infrastructure, and CI/CD around the ML space, who enjoys creating a space that allows R&D and Production services to run fast and safely.

• Own and Extend MLOps systems: Take primary ownership of Flock’s custom MLOps tools and systems, leading its development, maintenance, and evolution.

• Own and Extend ML R&D Infrastructure: ML uses infrastructure like Packer, Terraform, Docker to allow ML Engineers to quickly create R&D environments for experimentation and development.

• Improve CI/CD of ML R&D and Production code bases: ML uses GitHub actions to trigger testing, image creation, release tagging, and production deployment.

• Improve design and security of ML software:

  • Update software to improve performance, testing, and extensibility

  • Resolve vulnerabilities and other securities issues

• Help Production Inference: Partner with ML Engineers, Software, and SRE to improve throughput and scalability of our inference servers, and also to expand its use to support additional models

• Be the Platform Expert: Serve as the primary point of contact and technical leader for the ML team on all issues related to infrastructure, specialized build systems, and operational software.

• Proven track record of owning, developing, maintaining, and evolving custom internal software tools and systems.

• Strong experience with infrastructure-as-code and containerization technologies like Terraform, Packer, and Docker, ideally for building and managing robust R&D environments.

• Expertise in designing, implementing, and improving CI/CD pipelines, standardizing the full ML lifecycle from testing and image creation to release tagging and production deployment.

• Strategic understanding of ML repository architecture, knowing when to leverage a monorepo versus breaking out services into separate repositories to optimize the development lifecycle.

• Strong software engineer at heart, skilled in optimizing software for performance, testability, and extensibility, with a keen eye for identifying and remediating security vulnerabilities.

• Proficient in Python and familiarity in Go

• A natural collaborator, adept at partnering with cross-functional ML, Software, and SRE teams to enhance the throughput and scalability of production inference servers

• You thrive as a technical leader and the go-to expert for ML infrastructure, specialized build systems, and operational software.

We prescribe to a 90 day plan, believing 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

• Standardize review and remediation process of high-risk security violations in key development projects.

• Enhance the continuous integration/continuous deployment (CI/CD) pipeline for a core development project.

The First 60 Days

• Update build scripts for key development projects to use current operating systems and drivers.

• Implement a new feature in our Machine Learning Operations (ML Ops) system, such as artifact management.

First 90 Days

• Improve reliability of our ML Ops systems.

• Optimize a specific ML project after profiling its performance.

Salary & Equity

In this role, you’ll receive a starting salary between $175,000 and $210,000 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.

Location

We’re building the impossible, together. To drive innovation through in-person collaboration, we’re prioritizing candidates in our key hubs: Atlanta, Boston, Chicago, Denver, Los Angeles, New York City, San Francisco, and Austin. While we value the energy of our hub communities, we embrace remote work and welcome applications from exceptional talent across the United States.

The Perks

🌴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.

If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.

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 [email protected]. 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.