NYC-Based AI/ML Engineer — Shape Product Growth

MyJunior AI; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive pay and equity

Private healthcare

Gym membership

In-office cook

Summers working in Greece

Job summary

A tech company specializing in AI tools is seeking a product-minded ML engineer based in NYC. This role involves working on innovative LLM projects, contributing to product decisions, and collaborating with external partners. A strong background in building LLM systems and the ability to communicate technical concepts clearly are essential. Benefits include competitive pay, a gym membership, and unique experiences such as summers working in Greece. We look forward to your application!

Qualifications

• Based in NYC.
• Opinionated about their work and eager to contribute to product decisions.
• Able to translate AI/ML suggestions into testable experiments.
• Experience with data gathering and prompt optimizing.
• Excited to build a team.

Responsibilities

• Work on LLM projects with novel research synthesis ideas.
• Collaborate with external partners to fuel growth.
• Shape engineering culture and contribute to product direction.
• Build a search ranking algorithm and knowledge graph.

Skills

Strong communication skills

Experience building LLM systems

Ability to break down AI/ML problems

Product-minded approach

Highly organized

Bias to action

Client-facing role experience

Job description

👶 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 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.

🔧 Sample set of projects

• 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.

🔥 About You

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

🌵 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

📩 How to Apply

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! 🙌