Lead Machine Learning Engineer at Asapp-2

At ASAPP, we are on a mission to provide the world's most efficient AI-powered customer experiences. We are looking for a talented Lead Machine Learning Engineer to join our AI Engineering team and help us build, evaluate, and scale the intelligence behind our agentic AI systems.

Responsibilities

• Design and build robust evaluation systems for our LLM-based and agentic architectures.
• Transform research concepts into high-impact, production-grade machine learning systems.
• Collaborate across our Research, Product, and Platform teams to turn experiments into scalable AI solutions.
• Keep pace with the latest developments in NLP and LLM technology to inform our technical strategy.
• Provide mentorship and technical guidance to your peers through knowledge sharing and design reviews.

Must-haves

• Extensive background in NLP and modern machine learning, specifically with LLM or agentic systems.
• Strong architectural expertise and production experience using Python, AWS, Kubernetes, and Docker.
• A Bachelor’s degree in Computer Science or a related technical field.
• Proven ability to mentor junior and mid-level engineers while promoting engineering best practices.
• A collaborative mindset and a genuine passion for solving complex machine learning challenges.

Nice-to-haves

• Hands-on experience building and evaluating agentic systems at scale.
• Background in managing LLM-centric services, including inference, orchestration, and monitoring.
• Familiarity with large-scale experimentation, simulation frameworks, and benchmarking.
• Knowledge of optimization techniques to improve model inference speed.
• Experience working with CI/CD pipelines, Kafka, and Athena.

Benefits

• Stock options.
• Comprehensive medical, vision, and dental insurance.
• 401k matching.
• Wellness programs and a dedicated mental wellness budget.
• Stipends for professional development and learning.
• Paid time off and hybrid work arrangements, with 10 to 12 days of in-office collaboration per month.