Applied AI Researcher

👶 ABOUT JUNIOR We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. 💡 ROLE DESCRIPTION As our founding NLP/ML hire, you'll have the unique opportunity to: - Translate product and business needs into applied ML/NLP solutions, coming up with novel research synthesis ideas and proving their business value through rapid prototyping. - Develop and optimize retrieval, search, and ranking algorithms by combining semantic embeddings, behavioral signals, and structured database queries. Build custom reranking models. - Fine-tune SLMs/LLMs for high-accuracy, low-latency tasks such as classification, query rewriting, summarization, and personalization. - Apply advanced alignment and reliability techniques (e.g., DPO, fine-tuning strategies, evaluation-driven iteration) to improve user experience and trust. - Experiment with summarization and synthesis methods to transform large sets of unstructured interview notes into structured insights. - Contribute to product decisions, direction and prioritization - Shape our engineering culture We’re live with >20 enterprise clients, and already have 10s of thousands of calls on our platform. There’s lots of data to improve on and build. 🔥 ABOUT YOU We're looking for product-minded ML engineers who: - Based in NYC - Experienced NLP/ML researcher with strong knowledge of RAG, LLMs, and Generative AI pipelines. - Experience with - Proven experience building production ML systems, including search, information retrieval, and structured outputs - Have strong communication skills and a desire for a client-facing role - Are able to break down AI/ML problems for a non-technical audience clearly and succinctly, and translate their suggestions into testable experiments. - Have a strong bias to action, highly organised and experienced working with senior stakeholders to deliver large projects end to end - Excited to build a team 🌵 BENEFITS All the usual benefits (competitive pay and equity, private healthcare etc). Unusual benefits: - Gym membership - In-office cook - Summers working in Greece by the beach