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Lead Machine Learning Engineer

ASAPP
New York City, USA
Full-time
Senior
Hybrid
USD 170000-190000 yearly / year
Discovered 6 days ago
PythonAWSKubernetesDockerLLMNLP
Free

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  • 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.
  • 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.
  • 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 framework
  • Knowledge of techniques for optimizing model architectures for faster inference
  • Experience with AWS, CI/CD, Kafka, Athena

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