Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, and deploy ML, NLP, and generative AI solutions to improve scientific discovery. Build retrieval, recommendation, ranking, and RAG systems; fine-tune and evaluate LLMs; create evaluation frameworks; build scalable data pipelines; collaborate with cross-functional teams and produce production-quality Python code to deliver reliable, impactful AI systems for research use.

Prospects for new business through phone, email, and LinkedIn; researches and qualifies leads; coordinates with Marketing; documents prospect information; schedules demonstrations and meetings; builds sales pipeline; identifies decision-makers; and generates qualified opportunities for account executives.

Develop and lead strategic brand storytelling and integrated communications campaigns for Cell Press. Create and commission compelling content, coordinate web, social, email, and other channels, and translate complex scientific subjects into accessible stories. Define KPIs, analyze campaign performance, present insights to senior stakeholders, and manage freelancers and external partners while balancing multiple priorities.

Develop and evaluate production-oriented AI capabilities for legal products. Responsibilities include designing LLM, RAG, retrieval, ranking, and agentic-system experiments; building prototypes and evaluation harnesses; analyzing errors, hallucinations, and data quality; defining benchmarks and human-in-the-loop metrics; and partnering with engineers, product teams, legal experts, and customers to improve AI workflows. The role is fully onsite in New York City with occasional customer-site travel.

Provide deep technical product knowledge and demonstrations, respond to RFPs/RFIs and security questionnaires, build proofs of concept and sales enablement materials, run webinars and trainings, collaborate cross-functionally to solve customer problems and drive sales. Writing and public-speaking intensive; frequent client-facing demos and up to ~25-30% travel.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, RAG, knowledge graphs) to support scientific discovery. Lead architecture, mentor data scientists, partner with engineering and product, and measure model quality, trustworthiness, and user impact.

Partner with corporate legal departments to design and implement AI-driven workflows and LexisNexis solutions. Conduct demos, trainings, executive briefings, and workshops; advise on AI adoption and governance; identify expansion opportunities; collect client feedback and relay product recommendations. Travel frequently to support client engagements.

Analyze article and newsletter performance across platforms, translate data into concise insights for editorial strategy, run A/B headline tests, track audience behavior by product/region/channel/topic, and collaborate with editorial, product, and marketing to grow subscriber engagement.

Lead and develop data science teams to deliver AI/ML, NLP, search, retrieval, and generative AI products for scientific discovery. Set strategy, ensure model quality and responsible AI, partner with product and engineering, mentor staff, and drive measurable impact from research to production.

Designs, researches, and implements complex cross-system software; translates customer requirements into solutions; develops and optimizes data models and storage; mentors junior engineers; performs code reviews, TDD, and complex bug fixes; operates in Agile/Waterfall environments and promotes development best practices.