Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $200K - $240K.
This is a fully remote position.
Candidates need 7+ years in Machine Learning with specialization in representation learning, multimodal modeling, or embedding-based retrieval; deep knowledge in computer vision, NLP, or recommendation systems; strong PyTorch proficiency for fine-tuning foundation models; and experience with embedding-based retrieval and contrastive learning.
Flock Safety offers a positive and inclusive remote work environment that fosters strong relationships, encourages a bias towards action, and rewards hard work.
A strong candidate has 7+ years of ML experience specializing in multimodal modeling or embeddings, PyTorch expertise in fine-tuning vision-language models, deep knowledge in CV/NLP/recommendations, and the ability to work independently on open-ended problems.
License plate reader cameras for crime prevention
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.