Machine Learning Engineer, PEDM
Keeper SecuritySalary not specified
- Full Time
- Junior (1 to 2 years)
$117,000 – $171,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Public Safety TechnologyIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or equivalent software engineering experience, with a PhD being welcomed. They should have experience solving problems using Machine Learning frameworks such as TensorFlow, PyTorch, and scikit-learn, along with a good understanding of Deep Learning and Traditional Machine Learning algorithms. Experience writing Python in a team environment is required, alongside basic SQL and Git knowledge, and a foundational understanding of linear algebra, probability, and statistics is preferred.
Responsibilities
As a Machine Learning Engineer, you will support the entire machine learning model lifecycle to enable device decoding of evidence and crime elimination, and you will play a key role in improving model performance and addressing model drift within the Maintenance Team. You will be responsible for taking cutting-edge research and technology to solve new problems, communicating effectively at the appropriate level, and persistently working towards a successful solution.
Skills
Machine Learning
TensorFlow
PyTorch
scikit-learn
Deep Learning
Supervised Learning
Unsupervised Learning
Python
SQL
Git
Problem-Solving
Communication
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.
Key Metrics
Atlanta, GeorgiaHeadquarters
2017Year Founded
$372.2MTotal Funding
SERIES_ECompany Stage
Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees