Member of Technical Staff, Machine Learning

Profound
New York
Workplace: OnsiteFull timeUSD 160,000 - 250,000 annuallyFunction: Data Science & Machine LearningSkills: []

Design, build, and deploy large-scale NLP and LLM systems to power classification, ranking, clustering, topic discovery, and content generation. Own data-to-deployment workflows, collaborate across product and engineering, and turn real user conversations into production features and publish-ready content that boosts visibility, engagement, and conversion.

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FursaFursa
Profound
Profound
1 year ago

Member of Technical Staff, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design, build, and deploy large-scale NLP and LLM systems to power classification, ranking, clustering, topic discovery, and content generation. Own data-to-deployment workflows, collaborate across product and engineering, and turn real user conversations into production features and publish-ready content that boosts visibility, engagement, and conversion.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and deploy NLP models at scale for classification, ranking, clustering, topic extraction, and summarization
  • •Design LLM workflows for context and content generation end to end, including topic discovery, brief creation, outlines and drafts, revision loops, and publish-ready assets
  • •Develop prompt and template libraries aligned to brand voice and channel, including blogs, landing pages, help docs, and ads, with retrieval for evidence-grounded generation and citations
  • •Create evaluation frameworks for generated content, including factuality, coverage, tone, safety, and originality, with rubric-based LLM evaluations, human-in-the-loop review, and red teaming
  • •Instrument content performance across AEO and SEO visibility, engagement, and conversion, and run experiments to improve quality, cost, and latency

Pay and Benefits

Salary: USD 160,000 - 250,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Proven experience shipping machine learning systems in production at scale, especially with large text data
  • •Hands-on experience building LLM content systems including prompting, templating, retrieval or RAG, guardrails, and evaluations
  • •Fluency in SQL and strong Python skills with modern machine learning tooling
  • •Strong grasp of machine learning and generation quality metrics, with the ability to design offline and online evaluations and monitoring
  • •Ability to innovate when off-the-shelf solutions do not fit the problem
Experience:AI/MLNLPLLMProductionText data
Tech Stack:SQLPythonNLPLLMRAGRetrievalGuardrailsEvaluations

Company Brief

Profound
Builds an AI visibility and answer‑engine optimization platform that helps enterprise brands measure, optimize, and control how they appear across ChatGPT, Google AI, Perplexity and other AI/answer engines.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series B
Headquarters: New York, United States
Founded: 2024
WebsiteLinkedIn