ML Research & Implementation Engineer

NYC, New York

Bubble

A platform for beginners and experts alike. See why more than 4.69 million apps have been built and launched on Bubble.

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Bubble is an AI visual development platform that enables anyone from first-time entrepreneurs to enterprise-level companies to take an idea from prompt to fully functional, scalable reality — all without writing or managing a single line of code.

Rather than specializing in one or two aspects of web development, Bubble’s full-stack visual programming interface does it all, allowing you to customize your UX with a drag-and-drop editor, build out logic, manage databases, and integrate with anything via plugins and API. As the only full-stack, no-code platform on the market with over 5 million users in over 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation across the globe.

What we’ve achieved:

Our product is working, and we are thriving. Entire VC-backed companies have been built entirely on Bubble. After finding product market fit and 8 years of bootstrapping, we raised a $100 million Series A and we’re one of the fastest-growing companies in the New York tech ecosystem.

You can build just about anything on Bubble - and our community is living proof. More than just launching products, people are turning their ideas into real businesses. Mailead grew a $10k investment in a Bubble product into a $2M valuation, while Faceless.video went from 0 to $1M+ ARR in less than a year, among many other examples.

About the team:

We are expanding our AI Engineering Team to build next-generation AI-powered development workflows. Our goal is to enable AI-assisted full-stack development, allowing users to describe their applications in natural language and have AI generate, modify, and enhance their apps seamlessly.

As a  ML Research & Implementation Engineer, you will help define and build the future of AI-powered development at Bubble. You’ll work on LLM-driven product features, design Agentic workflows, and develop private models trained on proprietary Bubble datasets. You will collaborate closely with Product, Infrastructure, and Research teams to push the limits of AI-driven development.

In This Role You'll:

  • Improve LLM reasoning & retrieval techniques to enhance Bubble’s AI-powered development tools.

  • Design and build agentic workflows to enable multi-step AI-driven app generation.

  • Fine-tune & optimize LLMs for AI-assisted app-building workflows.

  • Build and optimize proprietary AI models trained on domain-specific datasets.

  • Work closely with the AI team to scale AI research into production.

  • Optimize LLM performance and accuracy when interpreting and modifying applications.

About You:

  • Master’s or PhD in AI, ML, NLP, or a related field, and 2+ years of industry experience working with LLMs, AI model optimization, and NLP pipelines.

    • OR 5+ years of industry experience as a Machine Learning or Software Engineer.

  • Strong experience with transformer models, retrieval-augmented generation (RAG), and dataset curation.

  • Experience with agentic AI workflows and chatbot-style LLM interactions.

  • Understanding of embeddings, vector search, and AI model evaluation.

  • Proficient in relevant languages and tools like Python, Typescript, Hugging Face, LangChain, and Mastra.

  • Excellent communication skills and a collaborative mindset.

  • Alignment with our values: a desire to empower others, a focus on team and user success, and a willingness to experiment and learn from failures.

Our Tech Stack:

  • Frontend: Typescript, SolidJS

  • Backend: Typescript, Node.js

  • AI/ML: Python, LLM APIs (OpenAI, Anthropic, etc.), LangChain

  • Infrastructure: AWS, CDK / Terraform, ECS, Redis, Postgres

  • Data & AI Workflows: JSON-based app representations, proprietary datasets

Compensation:

We offer competitive compensation aligned to tier one markets. Our estimated salary for this role at Bubble ranges from $157,000 to $213,000. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand.

Location: 

For this role, Bubble is currently only considering candidates who are authorized to work in the US and are within the New York City metro area.

We prefer hiring people within commuting distance of our NYC office because we value getting together in person regularly. For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches, and happy hours, among other fun perks.

Benefits:

In addition to cash and equity compensation, Bubble offers a robust benefits package equating to roughly twenty thousand in additional annual compensation:

Our benefits include, but are not limited to:

  • Comprehensive health coverage

  • 401(k) matching

  • Wellness and work enablement stipends

  • Flexible PTO

  • A Sabbatical program

Join us!

Let’s democratize access to technology together! If this sounds like you, apply! If you don’t meet all of the qualifications but think you could be a match, we’d still love the chance to review your application. At Bubble, we encourage people from all ages, abilities, and experiences to apply. Bubble does not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

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Tags: Anthropic APIs AWS Chatbots ECS Engineering JSON LangChain LLMs Machine Learning NLP Node.js OpenAI PhD Pipelines PostgreSQL Python RAG Research Terraform TypeScript UX

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Team events

Region: North America
Country: United States

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