Applied AIML -Executive Director

What you'll do

• Own recommendation and personalization platforms, including candidate generation, retrieval, ranking, and real-time decisioning.
• Lead end-to-end production ML delivery, evaluation, experimentation, launch, monitoring, and iteration.
• Build and lead a team of applied scientists and ML engineers; set technical direction and partner across business and engineering functions.

What they ask for

• PhD in Computer Science or equivalent experience, with strong research and industry background in machine learning and depth in recommender systems, ranking, personalization, or information retrieval.
• Proven ability to lead and deliver large-scale production ML systems using big data.
• Strong people leadership experience, including team building, technical direction, mentorship, and performance management.
• 10+ years of hands-on programming and system-building experience; strong Python and at least one of Scala/Java, plus Spark and distributed data processing.

Nice to have

• Expertise in ranking/retrieval/search, online experimentation, and real-time personalization.
• Experience with feature stores, streaming/real-time pipelines, low-latency inference, ML observability, NLP/LLMs for recommendations, or responsible AI.

Pay

$223,000.00-$325,000.00 USD base salary

Tools

Python, Scala, Java, Spark

AI focus

Leads recommendation and personalization ML, applying NLP, search/retrieval, and GenAI where they improve relevance, efficiency, or customer outcomes; includes evaluation, controls, and risk awareness.