[Remote] Staff Software Engineer, ML Platform at Flock Safety

United States

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$200,000 – $225,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Public Safety, Machine LearningIndustries

Requirements

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 C++, with familiarity in Go
A natural collaborator, adept at partnering with cross-functional ML, Software, and SRE teams to enhance the throughput

Responsibilities

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 security 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

Skills

Key technologies and capabilities for this role

ML PlatformMLOpsSoftware EngineeringInfrastructureCI/CDML InferenceCloud PlatformSite Reliability Engineering

Questions & Answers

Common questions about this position

What is the salary range for the Staff Software Engineer, ML Platform position?

The salary range is $200K - $225K.

Is this position remote?

Yes, the position is remote.

What skills and experience are required for this role?

The role requires proven experience with software, infrastructure, and CI/CD in the ML space, including tools like Packer, Terraform, Docker, and GitHub Actions. Ideal candidates have breadth in MLOps systems, ML R&D infrastructure, and improving inference services.

What is the company culture like at Flock Safety?

Flock Safety has a high-performance, low-ego team driven by urgency, collaboration, and bold thinking, where employees tackle big challenges, move fast, and continuously improve.

What makes a strong candidate for this Staff Software Engineer role?

A strong candidate has proven track record in owning and extending MLOps systems, ML R&D infrastructure, CI/CD pipelines, and inference services, with expertise in tools like Terraform, Docker, and GitHub Actions, and enjoys enabling fast, safe R&D and production.

Flock Safety

License plate reader cameras for crime prevention

About Flock Safety

Flock Safety provides a system aimed at enhancing public safety through crime prevention while ensuring privacy and reducing bias. The main product is a network of license plate reader cameras that capture essential vehicle information, which helps in solving crimes. These cameras utilize machine learning technology to ensure that the data collected is objective and ethically used. Flock Safety serves a variety of clients, including neighborhoods, businesses, and law enforcement agencies in over 1,000 cities. The company operates on a subscription model, where clients pay for the installation, maintenance, and access to data and analytics. This approach not only generates a steady revenue stream but also allows clients to benefit from ongoing updates and support. Flock Safety's goal is to create safer communities by providing effective crime prevention tools that respect individual privacy and foster trust between the public and law enforcement.

Atlanta, GeorgiaHeadquarters

2017Year Founded

$372.2MTotal Funding

SERIES_ECompany Stage

Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Unlimited PTO

12 paid holidays

Fully-paid health benefits

16 weeks of parental leave

Work from home allowance

Learning & development stipend

Home office stipend

Risks

Privacy concerns may lead to legal challenges affecting ALPR technology operations.

Integration of drone technology may increase operational costs and financial strain.

Economic downturns could reduce client spending on subscription-based services.

Differentiation

Flock Safety integrates ALPR cameras with AI for unbiased crime-solving data.

The company offers a full-service, maintenance-free technology solution for public safety.

Flock Safety's platform combines community power to enhance safety across cities and businesses.

Upsides

Acquisition of Aerodome enhances drone technology for public safety solutions.

Partnership with MS2 expands AI Traffic Analytics capabilities for state agencies.

Solar-Powered Condor video solutions increase market penetration in infrastructure-lacking areas.

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