Applied Scientist II

Required

• Bachelors and Ph.D in Computer Science or related fields
• Solid understanding of machine learning fundamentals and tool ecosystem
• 3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
• Experience with Agentic AI systems, including design, development, and rigorous evaluation of agent performance.
• Deep learning implementation expertise (TensorFlow, PyTorch etc)
• Excellent command of at least one modern programming language (preferably Python)
• Deep understanding of machine learning model life cycle management
• Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
• Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
• Comfortable working in a fast paced, highly collaborative, dynamic work environment.
• Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)
• Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)