Profound is on a mission to help companies understand and control their AI presence. As an AI and ML Engineer, you will design, build, and ship large scale NLP and LLM systems that power classification, ranking, clustering, topic discovery, and content generation. You will own workflows from data to deployment, partner across product and engineering, and turn real user conversations into production features and publish-ready content that drives visibility, engagement, and conversion.

What you’ll do

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
Transform large text datasets into production features and signals that drive product insights
Partner with engineering to instrument events, maintain data pipelines, and uphold high data quality and observability
Collaborate with product, data, and go-to-market teams on success metrics and experiments that move customer-facing KPIs

Who you are

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 working in cross-functional, high-performance teams
Clear communication with both technical and non-technical partners
Ownership mindset and comfort operating in a fast-paced environment
Excited by ownership of the entire product analytics function at an early stage company
Motivated by shaping how usage is measured and how product decisions are made
Interested in close collaboration with product, engineering, and go-to-market teams
Comfortable in a fast-paced environment with trust, autonomy, and responsibility
Drawn to competitive compensation and meaningful equity

Location

This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $180,000 to $260,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

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Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

AI/ML Engineer