Target

retail

PrincipalAppliedDataScientistSearchandBrowse(NLP,VectorSearch,LLMs)

$168–356k Sunnyvale, California, United States FULL TIME Remote Friendly
The Brief

“Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs) at Target. Skills: NLP, Vector Search, LLMs, Search. Define long-term technical vision. Lead architecture strategy”

What You'll Achieve.

measurable customer and business impact; measurable business impact

Industry & Context.

retail
Problems you'll solve

technical ML problem-solving skills

What They're Looking For.

Must Have

MS in Computer Science, Statistics, Applied Mathematics, Physics or related quantitative discipline, 8+ years of industry experience building and scaling ML systems for Search, Recommendation, Personalization, Ads, or AI platforms, Python programming, technical ML problem-solving skills, experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements, understanding of retrieval/ranking system tradeoffs, experimentation strategy, operational excellence

Nice to Have

PhD, experience with semantic retrieval, vector search, RAG systems, conversational search, agentic AI systems, Deep expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation, ML infrastructure (VertexAI), Proven experience defining architecture and long-term strategy for large-scale production AI systems, track record driving measurable business impact through ML innovation, Experience leading cross-functional initiatives spanning multiple teams or organizations, Ability to influence executive stakeholders and drive organizational technical direction

What You'll Do.

Define long-term technical vision

Lead architecture strategy

Drive innovation across transformers

Architect search and retrieval systems

Define future evolution

Influence organization-wide strategy

Lead ambiguous initiatives

Establish scalable ML architecture patterns

Drive foundational investments

Balance customer experience

Mentor Lead scientists

Represent organization in executive reviews

How You'll Work.

Team & Collaboration

work with product; work with Engineering; work with Applied Science; work with Infrastructure; work with executive stakeholders; cross-functional initiatives

Communication Scope

Exceptional communication

Process & Methodology

multi-quarter initiatives

Free ATS check

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