Lead Machine Learning Engineer, ASAPP

• Deep experience in NLP and modern ML systems, including hands-on experience with LLM-based or agentic systems
• Strong architectural skills, with proven experience designing complex software systems along with production experience with Python, AWS, Kubernetes, and/or Docker
• Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning
• A Bachelor’s Degree in CS or other related fields
• Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
• Demonstrate proficiency in the technical mentorship of junior and mid-level engineers, driving the adoption of best practices and ensuring architectural alignment for scalability and extensibility

Desirable

• The AI Engineering team is responsible for working closely with the research and modeling teams to create state-of-the-art NLP models for specific tasks, and deploy them in a production setting designed to serve our customers at scale
• We are looking for a Machine Learning Engineer to help build and evaluate the core intelligence behind our agentic AI systems
• This role will play a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems
• You'll design and development of ML evaluation systems for agentic and LLM-based architectures
• Translate research ideas into production-grade ML systems with measurable impact
• Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
• Stay current with advancements in ML, NLP, and LLM systems, contributing actively to technical discussions across teams
• Mentor and support other engineers through design reviews, feedback, and knowledge sharing