Machine Learning Engineer II - Maintenance - Remote

Overview

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.

In Short

• Support the machine learning model lifecycle to decode evidence and eliminate crime.
• Improve model performance and address model drift.
• Collaborate with teams to solve complex problems.
• Utilize machine learning frameworks like TensorFlow and PyTorch.
• Work in a results-oriented culture with a focus on collaboration.
• Participate in a transparent and collaborative interview process.
• Receive a competitive salary with stock options.
• Enjoy flexible PTO and comprehensive health benefits.
• Contribute to a mission-driven company dedicated to public safety.
• Foster relationships with key stakeholders and teams.

Requirements

• BS/MS in Computer Science, Mathematics, Physics, Engineering or equivalent experience.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Good understanding of deep learning and traditional ML algorithms.
• Proficient in Python programming.
• Ability to tackle complex problems and iterate towards solutions.
• Basic knowledge of SQL and Git.
• Familiarity with linear algebra, probability, and statistics preferred.

Benefits

• Flexible PTO and 11 company holidays.
• Fully-paid health benefits including Medical, Dental, and Vision.
• 12 weeks of 100% paid parental leave.
• $50,000 lifetime maximum benefit for fertility and family expenses.
• Mental health benefits including therapy and coaching.
• Monthly WFH stipend of $150.
• Annual productivity stipend of $250.
• One-time home office stipend of $750.
• Equity tax advisor sessions for employees.
• Support for employee resource groups.