Lead Machine Learning Engineer

At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. We’re guided by principles that shape how we think, build, and execute, valuing customer obsession, purposeful speed, ownership, and a relentless focus on outcomes.

About the role

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. This is a hybrid role with 10-12 days of in-office presence per month to balance flexibility with collaboration.

Responsibilities

• 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

Requirements

• 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 openness to teach and learn from others
• Demonstrated 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

Preferred Qualifications

• Experience building and evaluating agentic systems at scale
• Production experience with LLM-centric services (e.g., inference, orchestration, evaluation, monitoring)
• Familiarity with large-scale ML experimentation, benchmarking, or simulation frameworks
• Knowledge of techniques for optimizing model architectures for faster inference
• Experience with AWS, CI/CD, Kafka, Athena

Pay

$170,000 - $190,000 a year. Compensation package also includes a performance bonus on top of the listed salary range and a compelling equity grant comprised of stock options.

Benefits

• Comprehensive medical, vision, and dental insurance
• 401k matching
• Fitness and wellness stipend
• Mental well-being benefits
• Professional learning and development stipend
• Parental leave, including for adoptive and foster parents
• 3 weeks paid time off (increases with tenure) along with sick leave, bereavement, and jury duty