ML Research & Implementation Engineer

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. 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. 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. 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. 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. 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. Benefits In addition to cash and equity compensation, Bubble offers a robust benefits package equating to roughly twenty thousand in additional annual compensation: Comprehensive health coverage 401(k) matching Wellness and work enablement stipends Flexible PTO A Sabbatical program 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. #J-18808-Ljbffr Dormont Manufacturing Co