Job Description
Title: Software Engineer, ML Tooling
Location: Remote, US
Company Overview
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global. Now surpassing a 3B valuation, Flock is scaling quickly 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.
Additional Information
- How To Succeed at Flock Video
- Flock’s Series E Announcement
- How We Stop Crime and Protect Privacy
- Flock’s Framework
- Ethics Center
The Role
Data is the most crucial part of the Machine Learning models at Flock Safety, and obtaining accurate training data efficiently is paramount to the success of our mature and early-stage products. As a software engineer on the ML Infrastructure team, you will design and implement a set of tools that will transform our various data sources into high quality training data, as well as create APIs that allow for our customers to provide feedback that we can also learn from. You will work closely with ML researchers and engineers towards Flock’s goal of eliminating crime.
Knowledge of data science or machine learning is a plus but not required. A strong candidate for the team will either be a full-stack engineer with a good balance between frontend and backend, or an excellent software generalist.
How you’ll make an impact:
- Design and develop annotation tools for various multimedia datasets (audio, video, image, etc.)
- Developing APIs and libraries to improve the cadence of ML R&D releases
- Design testing and monitoring logic to ensure high quality annotations
- Design and develop APIs to provide feedback from our products to R&D
- Work closely with our ML researchers to support data needs for evolving projects
We’re looking for people who:
- BS/MS in Computer Science or related field, or equivalent industry experience.
- 3+ years experience building complex data-rich web applications
- Proficient experience with Python and Django
- Proficient in frontend development: React, javascript, css, html
- Proficient with RDBMS modeling (e.g. PostgreSQL, MySQL)
- Experience with designing, implementing, and integrating with REST APIs
- Experience with cloud computing, such as AWS EC2/S3/RDS is a plus.
- Experience with scientific computing libraries such as numpy, pandas, or scikit-learn is a plus.
- Knowledge of machine learning, computer vision, or neural networks is a plus but not required.
- 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
