Senior ML Engineer, Computer Vision

Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. As a Senior Machine Learning Engineer on the Vision Team, you will support the machine learning model lifecycle, improve model performance, and address model drift while collaborating with cross-functional teams.

Responsibilities:

• 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

Requirements:

• 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
• Ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment
• Must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check