Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)

What you'll do

• Architect, implement, and deploy end-to-end GenAI, RAG, and multi-agent systems, including interfaces, memory, evaluation, observability, and safety features.
• Train, adapt, fine-tune, and distill LLMs; build multimodal pipelines and large-scale behavioral embedding systems for personalization and marketing.
• Lead technical standards and design reviews, mentor team members, and collaborate with product and engineering teams to deliver user-facing experiences.

What they ask for

• Deep expertise in LLM training, adaptation, distillation, RLHF/DPO, and RAG systems.
• Strong foundation in NLP and experience with multimodal AI systems, including vision-language models.
• Experience building and operating multi-agent AI platforms with observability and safety frameworks.
• Background in distributed GPU training and inference, cloud infrastructure (AWS/Azure), container orchestration, and ML tooling.

Nice to have

• PhD in Computer Science, Machine Learning, or a related field.
• Industry presence through publications, patents, talks, or open-source contributions in LLMs, RAG, or agentic systems.

Pay

$173,000.00 to $242,500.00 USD total cash; up to $277,000.00 USD total cash (top of range)

Tools

LangChain, LangSmith, AutoGen, OpenAI/Claude Agents SDK, LangGraph, Claude, AWS, Azure

AI focus

Production GenAI and agentic AI for marketing and travel discovery, including LLM training and adaptation, RAG, multi-agent systems, multimodal AI, behavioral embeddings, personalization, evaluation, safety, and monitoring.