Job Description
📋 Description Lead development and deployment of advanced ML solutions across teams. Own full ML lifecycle: design, development, testing, deployment, maintenance. Build ML systems, classifiers, and automated solutions for online safety. Define data sourcing, labeling, and evaluation with data teams. Collaborate with domain experts on data labeling and model performance. Design production ML pipelines and serving infrastructure. 🎯 Requirements 5+ years in ML/AI or related fields. Master’s, PhD, or equivalent in CS/math/stats/engineering. Proven experience building and deploying ML systems in production. Experience applying CV and/or NLP in production. Strong Python skills and modern ML frameworks/tools. Experience with PyTorch, TensorFlow/Keras, scikit-learn, Pandas, OpenCV, Transformers. 🎁 Benefits Competitive annual compensation: $154,000 - $212,750. Remote-first work model with some in-person collaboration. Opportunities for professional growth on mission-driven projects. Collaborative environment across engineering, data, product, and research. Company events and team gatherings. Comprehensive employee benefits; inclusive workplace culture.
