{"id":15603,"url":"https://alion.io/job/profound-aiml-engineer","title":"Member of Technical Staff, Machine Learning","company":{"id":4789,"name":"Profound","domain":"tryprofound.com","url":"https://alion.io/company/profound","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":68,"ghost_share":0.176,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":127,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Figma","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Red Teaming","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-09-04T19:38:47Z","employer_posted_date":"2025-09-04","last_verified_at":"2026-10-23T00:17:55Z","board_verified":true,"closed_at":null,"days_open":413,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":412},"description":"Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.\nBuilt on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.\nAs 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.\nWhat you’ll do\nBuild and deploy NLP models at scale for classification, ranking, clustering, topic extraction, and summarization\n\nDesign LLM workflows for context and content generation end to end, including topic discovery, brief creation, outlines and drafts, revision loops, and publish-ready assets\n\nDevelop 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\n\nCreate 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\n\nInstrument content performance across AEO and SEO visibility, engagement, and conversion, and run experiments to improve quality, cost, and latency\n\nTransform large text datasets into production features and signals that drive product insights\n\nPartner with engineering to instrument events, maintain data pipelines, and uphold high data quality and observability\n\nCollaborate with product, data, and go-to-market teams on success metrics and experiments that move customer-facing KPIs\n\nWho you are\nProven experience shipping machine learning systems in production at scale, especially with large text data\n\nHands-on experience building LLM content systems including prompting, templating, retrieval or RAG, guardrails, and evaluations\n\nFluency in SQL and strong Python skills with modern machine learning tooling\n\nStrong grasp of machine learning and generation quality metrics, with the ability to design offline and online evaluations and monitoring\n\nAbility to innovate when off-the-shelf solutions do not fit the problem\n\nExperience working in cross-functional, high-performance teams\n\nClear communication with both technical and non-technical partners\n\nOwnership mindset and comfort operating in a fast-paced environment\n\nExcited by ownership of the entire product analytics function at an early stage company\n\nMotivated by shaping how usage is measured and how product decisions are made\n\nInterested in close collaboration with product, engineering, and go-to-market teams\n\nComfortable in a fast-paced environment with trust, autonomy, and responsibility\n\nDrawn to competitive compensation and meaningful equity\n\nLocation\nThis is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact.\nFor 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.\nNote: All official communication from Profound will come from a @tryprofound.com email address. 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