What You’ll Do

• Conduct original research on large proprietary and open source data sets
• 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

Who You Are

• Have 3 years of experience being a major machine learning contributor at a top company, hedge fund, or university
• Experienced with advanced machine learning methods
• Have strong statistical knowledge, intuition, and experience modeling real data
• Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
• Demonstrated effective coding, documentation, and communication habits
• Exercise strong communication skills and can effectively express even complicated methods and results to a broad, often non-technical audience
• [optionally] Have published in top-tier journals and conferences in ML domain

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