Lead ML Engineer

At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship

We are seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. Were a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If youre driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.

ASAPP’s AI Engineering team is seeking an enterprising, talented, and curious machine learning engineer. 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.

What youll do

• 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.
  
  

What youll need

• 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.
  
  

What wed like to see

• 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
  
  

Benefits

• Competitive compensation
• Stock options
• ICICI Lombard General Insurance LTD
• Onsite lunch & dinner stipend
• Connectivity (mobile phone & internet) stipend
• Wellness perks
• Mac equipment
• Learning & development stipend
• Parental leave, including 6 weeks paternity leave
  
  

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at [email protected] to obtain assistance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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