Skills

Prioritization Research NLP

Job Specifications

This role is an opportunity to join a profitable, early-stage company building LLM-powered tools that transform how private market investors conduct research. The platform is already live with 20+ enterprise clients and processes tens of thousands of research calls, providing rich real-world data to learn from and improve upon.

Role Description

This is a founding NLP / ML role. The Applied AI Researcher will play a critical role in translating product and business needs into applied ML and NLP solutions, shaping both the technical direction and the company’s AI capabilities from an early stage.

Key responsibilities include:

Translating product and business requirements into applied ML/NLP solutions and rapid prototypes
Developing and optimizing retrieval, search, and ranking systems using semantic embeddings, behavioral signals, and structured queries
Building and fine-tuning custom reranking models
Fine-tuning SLMs / LLMs for high-accuracy, low-latency tasks such as classification, query rewriting, summarization, and personalization
Applying alignment and reliability techniques (e.g. DPO, evaluation-driven iteration) to improve trust and UX
Designing summarization and synthesis methods to convert large volumes of unstructured data into structured insights
Contributing to product decisions, prioritization, and roadmap discussions
Helping shape engineering culture and best practices
Supporting future team growth and mentorship

Requirments

The ideal candidate is a product-minded Applied AI Researcher / ML Engineer who:

Is based in NYC and open to working onsite
Has strong experience in NLP, ML, RAG, LLMs, and generative AI pipelines
Has built production ML systems, particularly in search, retrieval, ranking, or structured outputs
Can clearly explain AI/ML concepts to non-technical stakeholders
Translates ideas into testable experiments and measurable outcomes
Has a strong bias toward action and is comfortable owning large projects end-to-end
Enjoys collaborating with senior stakeholders and client-facing teams
Is excited about helping build and grow an AI team from the ground up

What Great Looks Like

Has shipped ML systems that are used by real enterprise customers
Balances research depth with practical, business-driven outcomes
Comfortable operating in ambiguity and early-stage environments
Motivated by impact rather than pure research or theory

Benefits

Competitive salary and equity
Private healthcare
Gym membership
In-office cook

About the Company

For Clients We are a Global Talent Agency with a proven track record of building teams across the US, Europe, Canada, South America, and Asia. Save time and money with us with no risk as we work on a success-only basis and use Data Driven Recruitment Techniques and AI to ensure we send the best talent from our worldwide pool. We also specialise in building high-performing remote teams, helping businesses cut costs while maintaining the quality of work that drives success. To see how we can help you build your team; ple... Know more