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ML Research & Implementation Engineer
| Company | Bubble |
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| Location | New York, NY, USA |
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| Salary | $157000 – $213000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Mid Level, Senior |
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Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
No preferred qualifications provided.
