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Profound

AI/ML Engineer

New York, New York$160k–$250kfulltimemidAdded 1 month ago

About this role

Profound, an AI-powered marketing platform backed by top-tier VCs, seeks an AI/ML Engineer to build and deploy large-scale NLP and LLM systems that help brands understand and optimize their presence in AI search engines. You'll own the full workflow from data processing through production deployment, creating intelligent content generation and evaluation systems while collaborating with cross-functional teams.

What you'll do

  • Build and deploy NLP models for classification, ranking, clustering, topic extraction, and summarization at scale
  • Design end-to-end LLM workflows for content generation including topic discovery, drafting, revision loops, and publishing
  • Develop prompt libraries and retrieval systems for brand-aligned content across multiple channels
  • Create evaluation frameworks for content quality covering factuality, tone, safety, and originality
  • Measure content performance metrics and run experiments to optimize quality, cost, and latency
  • Partner with engineering and product teams on data pipelines, monitoring, and success metrics

What they're looking for

  • Production machine learning systems with large text data
  • LLM systems including prompting, RAG, templating, and evaluations
  • Python and SQL
  • Machine learning and generation quality metrics
  • Offline and online evaluation design
  • Cross-functional collaboration
  • Clear communication with technical and non-technical stakeholders
  • Product ownership and fast-paced execution

Benefits

  • Competitive base salary ($180,000–$260,000)
  • Meaningful equity package
  • Full range of benefits and perks
  • On-site role in NYC or SF office
  • High autonomy and ownership in a lean, fast-moving team
  • Opportunity to shape product measurement and decision-making at an early-stage unicorn
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Profound

Profound builds an AI-native marketing platform used by Fortune 500 companies that automates lead qualification, scoring, and routing while capturing prospect intent signals. The company is hiring Infrastructure Engineers, Data Engineers, Design Engineers, GTM Engineers, and Talent Engineers to scale its cloud systems, data pipelines, user experiences, and internal recruiting automation.

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Likely interview questions

  • Walk us through a production ML system you shipped at scale with text data—what were the key challenges in data pipeline, model selection, and evaluation?
  • Describe your experience building LLM content generation systems. How have you approached prompt engineering, retrieval/RAG, and guardrails to ensure quality and safety?
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