Senior machine learning engineer

What you'll do

• Develop agentic search capabilities, APIs, tools, and protocols, and improve search behavior using evaluation results, production signals, and feedback.
• Create reproducible benchmarks and evaluation tools; analyze failures and guide system improvements.
• Own projects from design through deployment and measurement, while collaborating across teams and mentoring engineers.

What they ask for

• Bachelor’s or master’s degree in Computer Science or a related field, or equivalent practical experience.
• 4+ years of relevant industry experience in machine learning, including delivering ML capabilities into production.
• Strong Python skills and experience in one or more of LLM applications, AI agents, information retrieval, search relevance, or natural language processing.
• Experience designing experiments, building evaluation datasets, and analyzing model and system behavior.

Nice to have

• Experience with tool-using agents, multi-step search, retrieval-augmented generation, agent evaluations, or reproducible benchmarks.
• Experience with MCP, retrieval and ranking, LLM fine-tuning, or distributed data processing and cloud ML environments.

Pay

USD $206,100 - $269,075 base salary (Zone A); USD $185,490 - $242,168 base salary (Zone B); USD $171,063 - $223,332 base salary (Zone C)

Tools

Python, LLMs, Model Context Protocol (MCP), Spark, AWS, Databricks

AI focus

Build agentic search for AI assistants and developer workflows; develop benchmarks and evaluations; apply advances in LLMs and agent systems, including prompting, model selection, training data improvements, and fine-tuning where appropriate.