Senior Machine Learning Engineer, AI-Native Evaluation & Search

What you'll do

• Build and deploy models and AI systems for search, retrieval, ranking, recommendations, conversational experiences, and agentic workflows.
• Design evaluation datasets, metrics, benchmarks, and pipelines; assess model quality and use findings to guide improvements.
• Own projects from problem definition through deployment, monitoring, and iteration; collaborate across teams and mentor engineers.

What they ask for

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience.
• At least 4 years of experience developing and deploying machine-learning or AI systems in production.
• Strong Python skills and experience with Java, Kotlin, TypeScript, or another production language.
• Experience with SQL, large-scale data processing, model evaluation, and cloud-based ML or data platforms.

Nice to have

• Experience with AI-native products, RAG, conversational assistants, or tool-using agents.
• Experience with evaluation-driven development, search relevance, LLMs, or ML platforms.

Pay

$206,100 - $269,075 USD base salary; $185,490 - $242,168 USD base salary; $171,063 - $223,332 USD base salary

Tools

Python, Java, Kotlin, TypeScript, SQL, Spark, AWS, Databricks

AI focus

Builds AI-native search, retrieval, ranking, conversational, and agentic systems; develops evaluation datasets, benchmarks, and pipelines and assesses model behavior and quality.