ML Research & Implementation Engineer at Bubble

New York, New York, United States

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$157,000 – $213,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

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 LL

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

Skills

Key technologies and capabilities for this role

Machine LearningLLMsAI ResearchAgentic WorkflowsAI EngineeringNatural Language ProcessingWorkflow Design

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $157K - $213K.

Is this position remote?

Yes, this is a remote position.

What are the key requirements for this role?

Candidates need a Master’s or PhD in AI, ML, NLP or related field with 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, plus strong experience with transformer models.

What is the team like at Bubble?

The team is the expanding AI Engineering Team focused on building next-generation AI-powered development workflows, with close collaboration among Product, Infrastructure, and Research teams to enable AI-assisted full-stack development.

What makes a strong candidate for this ML Research & Implementation Engineer role?

Strong candidates will have advanced education in AI/ML/NLP or substantial industry experience with LLMs, transformer models, model optimization, and NLP pipelines, along with the ability to design agentic workflows and fine-tune models for production.

Bubble

No-code platform for building applications

About Bubble

Bubble is a no-code platform that enables users to build custom full-stack applications visually, catering to entrepreneurs, small businesses, and enterprises. Users can create applications by dragging and dropping elements, which simplifies the development process. Unlike competitors, Bubble allows users to access the full power of coding without writing any code, significantly reducing development time and costs. The company's goal is to democratize software development, making it accessible to a wider audience.

New York City, New YorkHeadquarters

2012Year Founded

$172.5MTotal Funding

SERIES_ACompany Stage

Consumer Software, Enterprise SoftwareIndustries

201-500Employees

Benefits

Generous equity

Flexible PTO

Work from home

Competitive healthcare

Risks

Synthflow AI's emergence poses competitive threat with no-code voice assistant solutions.

Alleged data breach could undermine customer trust and lead to legal issues.

HuggyStudio's expansion may attract clients away from Bubble for MVP development.

Differentiation

Bubble offers a full-stack no-code platform for web and mobile applications.

The platform allows rapid prototyping and deployment without traditional coding skills.

Bubble's subscription model includes a marketplace for templates and plugins.

Upsides

Increased demand for no-code platforms boosts Bubble's market potential.

Bubble's acquisition of Flusk enhances security features, appealing to enterprises.

Partnership with Upwork expands developer community and platform adoption.

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