Description About the Role: Design, build, and productionize large-scale NLP and LLM systems that power information extraction, classification, ranking, clustering, topic discovery, recommendations, and content generation across GenAI Lens and Meltwater's intelligence platform. What you'll work on: Build and deploy NLP and LLM systems that analyze AI Answering engine outputs and public web content to produce measurable brand intelligence, powering extraction, classification, ranking, clustering, topic discovery, recommendations, and the generation of insights. Design LLM workflows end-to-end for AI visibility analytics and insights: prompt families, retrieval-augmented generation, guardrails, and evidence-grounded outputs. Create evaluation and monitoring frameworks for model quality (factuality, coverage, brand safety, consistency, bias, and stability across model providers), including human-in-the-loop review and red-team style testing. Be accountable for the quality of the intelligence we produce by setting clear quality KPIs and building eval and monitoring systems for signal extraction, taxonomy and topic quality, ranking relevance, recommendation lift, and insight reliability in production. Drive cost and performance optimization across LLM and NLP pipelines by instrumenting unit economics (cost per query/report/insight), and running experiments to improve precision/recall, latency, and total inference spend (model selection, prompt and context optimization, caching, batching, retrieval efficiency). Partner closely with product and engineering to turn customer problems into measurable ML deliverables and ship production features quickly and safely. Own systems from prototype to production: data pipelines, training and inference, CI/CD for ML, observability, and incident response for model regressions at scale. What You'll Bring: 5+ years of experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research. Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis Strong proficiency in Python and working knowledge of TypeScript. Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength. Demonstrated ability to initiate, plan, and drive projects from concept to delivery, ensuring timely execution and high-quality outcomes. Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve Excellent communication and collaboration skills, and the ability to work effectively in a fast-paced, collaborative environment MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field What We Offer: Enjoy comprehensive paid time off that allows you to have an enhanced work-life balance Excellent medical, dental, and vision options 401(k) matching, life insurance, commuter benefits, and parental leave plans Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters. Energetic work environment with a hybrid work style, providing the balance you need. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Total compensation range for this position: $188,000-$250,000 USD per year. Start Date : April 1st, 2026 Our Story: At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws.
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