J
Juniorvia Ashby
Applied AI Researcher
New York CityPosted 10mo ago
ResearchMid LevelFull-time
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About the Role
👶 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
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
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