What You’ll Do

• Design, build and maintain scalable production-ready ML systems
• Actively participate in the ML model lifecycle, from problem framing to training, deployment and monitoring in production
• Partner with ML Operations team to deliver solutions for automating ML model lifecycle, from technical design to implementation
• Work in a cross-functional team of ML engineers, Product Managers, Designers, Backend & Frontend engineers who are passionate about their product
• Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!

Who You Are

• Have 5 years of significant, hands-on experience with ML/NLP (e.g., designing, shipping, and maintaining production systems) 
• Experienced in automating ML model lifecycle
• Are comfortable with modern tools for building ML pipelines, including data processing, training, inference, and evaluation
• Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
• Able and excited to lead initiatives from the ideation stage to implementation
• Exercise strong communication skills and can effectively express even complicated methods and results to a broad, often non-technical audience

Technologies We Love

• ML: PyTorch, DGL, NetworkX, XGboost, LightGBM, DVC, NVIDIA NeMo, HuggingFace, Weights & Biases
• Deployment: Airflow, Docker, Kubernetes, AWS
• Datastores: Postgres, Elasticsearch, SQLite, S3