Senior Machine Learning Engineer, Worldwide Product Marketing

What you'll do

• Deploy, monitor, and support AI tools in production environments to ensure reliability and performance.
• Design and integrate LLM-powered features and AI agent workflows into production systems.
• Build and maintain agentic pipelines that leverage tool use, memory, and multi-step reasoning.
• Conduct rigorous model evaluation, testing, and iteration to improve model quality and efficiency.
• Benchmark and evaluate LLM outputs for quality, latency, and safety in production contexts.
• Translate business requirements into technical ML solutions by partnering with data scientists and engineers.
• Contribute to the ongoing improvement of ML infrastructure, tooling, and best practices.

What we're looking for

• 8 years of experience building high-throughput, scalable applications or machine learning models in a production environment.
• 10 years of experience building high-throughput, scalable applications or machine learning models in a production environment (preferred).
• Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or a related field.
• Proficiency in object-oriented programming languages like Python, Java, or C++ with experience building distributed systems.
• Experience building large-scale ML systems using big data technologies such as Spark, SQL, or Snowflake.
• Experience with ML frameworks including TensorFlow, PyTorch, or scikit-learn.
• Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools like MLflow.
• Experience building and deploying applications using large language models and agentic frameworks like LangChain, LlamaIndex, or AutoGen.