Lead AI/ML Engineer

We’re building cutting-edge LLM-powered tools to supercharge the investment research process for private market investors. Our clients include several of the world’s top 10 private equity and consulting firms, and are responsible for investing billions of dollars annually. We’re a profitable, bootstrapped company with a growing team of 17 based in London and NYC.

You can read more about the company mission & values here.

As one of our first AI/ML hires, you'll have the unique opportunity to:

• Work on groundbreaking projects involving a mix of LLMs and traditional ML

• Come up with novel research synthesis ideas using NLP techniques and prove their business value

• Collaborate closely with our external partners to fuel our growth

• 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.

• Build a search ranking algorithm across open text, integrating signals from user interactions (e.g., edits, copies, and engagement metrics) alongside semantic and PostgreSQL-based text search to improve relevance and ranking across multiple features.

• Build your coworker: build an in-house prompt system that can use production signals or human labels to constantly and iteratively refine and improve prompts and output

• Build and open source a benchmark for evaluating LLM output on investment research specific tasks

• Build an agentic entity deduping system that uses signals from within the app and valuable external data sources / google to clean up the last mile of great STT output: entity resolution

• Build a knowledge graph custom to every research sprint that begins as highly unstructured interview data and leverages agentic infrastructure to pull in data where necessary and constantly rebalance the graph and the derived output.

We're looking for product-minded ML engineers who:

• Based in NYC

• Are opinionated about their work and eager to contribute to product decisions

• 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 experience building LLM systems from the ground up in a product-focused organization, and can help drive everything from data gathering / logging → prompt optimizing

• 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

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

If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you! 🙌