Flock Safety

Who is Flock? 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 $500M in venture capital from investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Meritech Capital Partners, and Initialized Capital. Now surpassing a $5.5B 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. The Opportunity The integrations team is seeking a seasoned Senior Software Engineer, to bolster our rapid expansion to new business verticals. Our customer-facing software continues to solve crime for new customer personas, resulting in new partnerships and integrations. To keep momentum, we must integrate with various data sources that provide real-time crime and operational context on multiple FlockOS surfaces.  You'll be working on integrating a variety of real-time law enforcement systems, specifically  computer-assisted-dispatch (CAD). You will also provide feedback to our developer hub with a growing list of APIs for developers.  A key part of this role will be to partner and communicate daily with customers, 3rd party vendors, and all stakeholders to ensure custom integrations are scoped, built, delivered, and supported successfully.  The Skillset Love writing code and have extensive experience doing so Excellent written and verbal communication skills in customer-facing communications Able to organize, keep track, and deliver multiples projects in parallel   Motivated by taking an unknown problem, sinking your teeth in, and coming up with a plan of attack. Proficiency in writing, optimizing, and troubleshooting complex SQL queries for data extraction, transformation, and integration. Proficiency with relational database systems (especially PostgreSQL and Microsoft SQL Server) and a solid understanding of database design principles Experience in integrating and syncing data between disparate systems, including resolving data format inconsistencies Understanding of on-premise networks, including firewalls, VPNs, and network configurations, to ensure seamless system communication and data transfer. Experience with Go and Typescript (Node) web services Experience with microservice-oriented architecture and designing systems at scale – We process over 1 billion images daily in real-time. Strong backend/database and pub/sub experience, we leverage Postgres DB, OpenSearch, DynamoDB, Redis (use the right tool for the job) Experience with AWS and cloud tooling such as Kubernetes (EKS), AWS Lambda, Docker Ability to work cross-functionally with internal and external engineering and product teams  The ideal candidate will have experience with CAD systems and databases 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 li

Who is Flock? 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. The Opportunity  The Cloud Video team is looking to add a Senior Software Engineer to support our increasing number of integrations with other NVRs (network video recorders), VMS (video management systems), and video-capable devices, including drones. This engineer will contribute with a heavy emphasis on the front-end, specifically to Flock’s custom-built Video Management Software, where we display live video for our customers. The Skillset  Love writing code and have extensive experience doing so Motivated by taking an unknown problem, sinking your teeth in, and coming up with a plan of attack. Experience with React or other Javascript frameworks and Typescript (Node) web services. Proficient in identifying and implementing performant UI optimizations to ensure smooth and responsive user experiences across various platforms and devices. Experience designing and implementing APIs.  Experience with AWS and cloud tooling such as Kubernetes (EKS), AWS Lambda, Docker Ability to work cross-functionally with other engineering and product teams Experience with VMS systems and Video/Streaming technologies such as WebRTC, HLS, RTSP, FFmpeg, GStreamer, etc is preferred but not required. 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 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 Flock Safety.  The First 30 Days Understand team workflows and processes Contribute smaller features and bugfixes with guidance Have all team repos cloned locally and have a good idea of what they do The First 60 Days  Ability to perform in role with minimal or no guidance Contribute to technical planning and architecture discussions Understand design philosophies in use Contribute to metric collection and automated test suites 90 Days & Beyond  Understand how each integration type functions at a high level Come up with and speak on ideas for improving our speed, resource usage, API simplicity, and

Who is Flock? 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 $380M in venture capital from investors including Tiger Global, Andreessen Horowitz, Matrix Partners, Meritech Capital Partners, and Initialized Capital. Now surpassing a $4B 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. The Opportunity The Cloud Video team is looking to add a Senior Software Engineer to support our increasing number of integrations with other NVRs (network video recorders), VMS (video management systems), and video-capable devices. This engineer will contribute to creating new integrations, maintaining existing integrations, and Flock’s own VMS software.   The Skillset Love writing code and have extensive experience doing so Motivated by taking an unknown problem, sinking your teeth in, and coming up with a plan of attack. Experience with Video/Streaming technologies such as WebRTC, HLS, RTSP, FFmpeg, GStreamer, etc.  Experience with Go, Typescript (Node) web services, and React or other Javascript frameworks Experience designing and implementing APIs.  Experience with AWS and cloud tooling such as Kubernetes (EKS), AWS Lambda, Docker Ability to work cross-functionally with other engineering and product teams 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 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 Senior Software Engineer Flock Safety.  The First 30 Days Understand team workflows and processes Contribute smaller features and bugfixes with guidance Have all team repos cloned locally and have a good idea of what they do The First 60 Days  Ability to perform in role with minimal or no guidance Contribute to technical planning and architecture discussions Understand design philosophies in use Contribute to metric collection and automated test suites 90 Days & Beyond  Understand how each integration type functions at a high level Come up with and speak on ideas for improving our speed, resource usage, API simplicity, and other topics to make our software suite better Start to own smaller projects Give meaningful PR and architecture feedback Communicate with cross-functional teams to ensure projects succeed The Perks 💰Salary & Equity: In this role, you’ll receive a starting salary of $170,000-$190,00

The Opportunity We’re hiring a Sr. AI Systems Engineer to help support our emerging product, Night Shift, an AI research assistant that amplifies the impact of investigators by automating the tedious, repetitive steps involved in working a case. This role sits within the Machine Learning team and will work closely with partners in Engineering (Backend, Frontend, and Design) in a fast-paced environment. You will be one of the earliest technical contributors to our system architecture for agentic AI, and will own our AI evaluation framework. The outcome we’re after is clear and ambitious: measurably faster, more accurate leads for every officer and every shift. The Skillset Familiarity with Agentic Systems: Hands-on experience with LLM agents including: LLM API use (e.g. LangChain/LangGraph, vLLM, OpenAI/Gemini/Anthropic APIs) Agent Design: tool use (e.g. via MCP), retrieval, memory, grounding/attribution for claims, and guardrails. Architectural patterns: planning and hand-off for multi-agent systems, context management RAG: vector/hybrid search (e.g. pgvector, turbopuffer, rerankers, etc.) ML Platform expertise: 5+ years building and shipping ML systems to production; experience in the following areas: Backend Python and JS familiarity required; Typescript/Golang familiarity welcome Web services (e.g. Express/FastAPI, REST, SSE, JWTs) Cloud Infrastructure (e.g. AWS, Terraform, VPC, Networking) Backend databases/stores (e.g. Postgres, Redis) Observability (e.g. Prometheus, Grafana, OpenTelemetry, LangSmith/Langfuse) [Preferred] Durable execution (e.g. Temporal, Hatchet) [Preferred] OLAP (e.g. ClickHouse, Bigquery) [Preferred] ML Inference (e.g. PyTorch, TensorRT, NVIDIA Triton), ideally in multimodal domains (text/image/video) [Preferred] Compute orchestration (e.g. Kubernetes, Prefect, Ray) Experience with LLM Evaluations at scale: You’ve built offline/online eval harnesses and are familiar with the methodologies and metrics to measure: Search, retrieval, and recommendation performance Safety & robustness (security, compliance, red-teaming, regression testing) Cost, performance and latency trade-offs [Preferred] Agentic task success, trajectory quality, preference learning (e.g. SFT, DPO, RLHF, LLM-as-judge) 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 Immerse yourself in the current system design and agent/tooling landscape. Understand the core customer use cases and data flows. Support the team by shipping a few quick wins (e.g., refining tool APIs, prompt engineering, fixing bugs) Stand up the foundational eval and observability scaffolding (datasets, metrics, KPIs, reporting) Propose a technical architecture and implementation plan for an agent evaluation framework. The First 60 Days Deliver the MVP evaluation harness to produce initial metrics, enable debugging and perform regression testing. Take on a system feature that offers demonstrated improvement against your MVP evaluation suite 90 Days & Beyond Productionize the evaluation and observability platform and make it the source of truth for quality and safety. (e.g. Online/offline tracing, alerting, dashboards, evaluations and PR-gated regression suite) Own the roadmap for evolving the agent evaluation platform Lead deeper R&D threads (e.g., lightweight fine-tuned projection layers, specialized embeddings, multimodal understanding) that can improve system performance on c

The Opportunity  As an Operations Research Analyst, you will use advanced optimization modeling techniques to build and deploy prescriptive tools to help drive critical business decisions. You will:  Model and document operations processes to better understand how to approach improving them Work alongside Engineering and Operations teams to better understand issues and communicate plans and solutions  Develop custom optimization algorithms to solve critical operations and logistics use cases  Develop metrics to best measure effectiveness of a solution Perform data analysis to understand anomalies or aberrations Integrate and deploy solutions into existing operations systems The Skillset  BS/MS/PhD in Operations Research, Industrial Engineering, Data Science, Computer Science, Mathematics, Physics, or related field, or equivalent industry experience 3+ years proven experience as an operations researcher or equivalent role Experience developing and maintaining end-to-end operations research production processes, including data modeling, algorithm development, testing, and metric tracking Strong experience using optimization packages such as CPLEX, Gurobi and OR-Tools Strong experience using programming languages such as C++, Java, and Python to implement optimization models Proficiency in SQL and data processing skills, with exposure/experience with dbt a strong plus Experience in data visualization tools (ex. Sigma, Tableau) Exposure to cloud infrastructure platforms and deployment patterns Ability to communicate with business partners and drive for solutions to complex and abstract problems  Effectively communicate, and seek to understand and be understood  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 data science standard patterns and processes Get to know the technical teams you’ll work closely with and the stakeholder groups you’ll be building tools for Deep dive into existing data science projects logic and architecture, and SQL data models Onboard to your first Data Science project and begin implementing your own model enhancements   The First 60 Days  Deploy your own enhanced versions of the Data Science project you own, including SQL data models and python science model development  Begin developing a new Data Science project from the ground up, including roadmap development with business stakeholders, science methodology proposal, and architecture design Build, test, and enhance your own models from the ground up   90 Days & Beyond  Be fully independent within our end-to-end automation and deployment infrastructure  Implement automated monitoring and testing for your models Continuously refine and enhance your owned projects  Begin onboarding and developing further data science use cases to support strategic business needs

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 representation and address certain challenging strata Improve statistical reporting metrics in our evaluatio

Who is Flock? 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. The Opportunity We are seeking an experienced and talented Software Engineer with deep knowledge of the Rust language to join our team. This role involves architecture, interface design, writing code, responsibility for testing, and publishing documentation. In this role, you will be primarily responsible for designing and implementing systems that enable real-time communication between drones, docking stations, our aerial traffic awareness and ground control station (GCS) platforms, and other external systems to enable autonomous operations. As a leader on our engineering team, you will have the opportunity to collaborate with cross-functional teams, mentor other engineers, and drive innovation in our product offerings. The ideal candidate will have a strong background in systems engineering, WebRTC, drone communication protocols, and a passion for delivering innovative solutions in the unmanned aerial systems (UAS) industry. This position is fully remote (USA only). The Skillset: 2+ years of software architecture experience 4+ years of Rust development experience (as a subject matter expert) 8+ years of software and/or systems engineering experience (cumulative) Proficiency in Linux-based development environments Excellent written and verbal communication skills Excellent problem solving and analytical skills A strong understanding of software architecture and design patterns The ability to work independently and in a team environment The ideal candidate will have: Prior industry experience working on UAS or GCS platforms Experience with WebRTC and related technologies (RTMP, RTCP, etc.) Experience with other systems languages, such as C and C++ Experience with LTE radios and systems Experience writing code for embedded environments Tools that we use include: AWS, Axum, Docker, GitHub, GitHub Actions (for CI), Helm, Hotwire, Kubernetes, Postgres, PowerShell, Prometheus, React, Ruby, Ruby on Rails, Rust, Sentry, SQL, TailwindCSS, Tokio, Turbo, WebRTC 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 as a Sr. Embedded Engineer (Rust) at Flock Safety. The First 30 Days Meet with colleagues! Understand team workflows and processes Work on tasks for