ML Research & Implementation Engineer, Bubble
$157-213k
Offers Equity
More information about location
Office located in Manhattan, NY
No-code software development platform
Open for applications
No-code software development platform
201-500 employees
Open for applications
$157-213k
Offers Equity
More information about location
Office located in Manhattan, NY
201-500 employees
Company mission
Bubble's mission is to erase the distinction between software use and software creation.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
More people than ever are interested in starting a digital product business such as a SaaS, social network or marketplace, but getting started is tough. Creating tangible proof-of-concept products generally requires software development skills, and without experience in coding, this usually results in expensive programmer hires.
Bubble provides a no-code software development platform, allowing its users to build SaaS apps, dashboards, CRMs, marketplaces, social networks, and other web or mobile-based software applications without coding experience. The platform allows users to navigate prototyping, launch, collaborative iterative development, and unlimited scaling through simple drag-and-drop interfaces, allowing anyone to develop software without the need for programming experience.
No-code software development startups have been growing in popularity and this undeniably presents significant competition for Bubble, but its all-in-one approach to design, functionality, and management gives them a cutting edge over similar niche-focussed alternatives. The company claims that through its platform, businesses can launch and develop products at a much faster rate due to increased accessibility to software development, without the need for expensive hires and infrastructure.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2021
$100m
SERIES A
Jul 2020
$71m
SEED
Total funding: $177.4m
Company benefits
- Generous equity - Everyone at Bubble gets equity in the company. It is important to us that you are invested in Bubble's future. We're here for the long term, and we want you to have a stake in it
- Flexible PTO - It's important for the team to be able to disconnect when they’re off. The team takes up to 20 days off per year. You can discuss with your manager to take more if needed
- Work from home opportunities
- Competitive healthcare - Your health is important. Choose from a host of medical, dental, and vision insurance options that suit your needs, either 100% employer-paid to tiers requiring minimal pre-tax deductions
Company HQ
Flatiron District, New York, NY
Leadership
Emmanuеl Straschnοv
(Co-CEO & Co-Founder)Experience as CEO Assistant for Prada. Consultant for Roland Berger Strategy Consultants from 2007 to 2010.
Josh Haas
(Co-CEO & Co-Founder)Management Associate for Bridgewater Associates from 2007 to 2010. Experience as Co-founder and CTO of KeywordSmart.
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