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