Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
ML Research & Implementation Engineer image - Rise Careers
Job details

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.

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.

Bubble Glassdoor Company Review
4.0 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
Bubble DE&I Review
4.6 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
CEO of Bubble
Bubble CEO photo
Unknown name
Approve of CEO

Average salary estimate

$185000 / YEARLY (est.)
min
max
$157000K
$213000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About ML Research & Implementation Engineer, Bubble

As a ML Research & Implementation Engineer at Bubble, you'll be at the forefront of revolutionizing how individuals and businesses develop applications without writing a single line of code. Based in the vibrant tech landscape of New York City, you’ll have the opportunity to work on AI-driven features that enhance our unique platform, which empowers over 5 million users in 100 countries to transform their ideas into tangible products. Your focus will be on improving large language model (LLM) reasoning techniques, designing workflows for multi-step development, and fine-tuning proprietary AI models tailored to our users’ needs. This role isn’t just about technology; it’s about collaboration. You will partner with teams across Product, Infrastructure, and Research to push the boundaries of what’s possible in AI-assisted development. With a strong emphasis on innovation, you’ll have the chance to optimize LLM performance and ensure our tools are highly effective in app creation. We’re looking for someone truly passionate about combining machine learning and software engineering to create groundbreaking solutions. If you have a Master’s or PhD in AI or related fields or substantial industry experience, and if you're excited about leveraging powerful AI tools to build the future of application development, then Bubble would love to hear from you. Join us in making technology accessible to everyone and be a part of a team that values creativity, experimentation, and growth. Let’s empower the next wave of entrepreneurs together!

Frequently Asked Questions (FAQs) for ML Research & Implementation Engineer Role at Bubble
What are the responsibilities of a ML Research & Implementation Engineer at Bubble?

As a ML Research & Implementation Engineer at Bubble, your main responsibilities will include improving LLM reasoning techniques for our development tools, designing agentic workflows for generating applications, and optimizing proprietary AI models. You'll collaborate closely with various teams to implement AI-driven enhancements and ensure our platform remains innovative and user-friendly. This role involves hands-on work with large language models, conveyor workflows, and performance tuning.

Join Rise to see the full answer
What qualifications are necessary for the ML Research & Implementation Engineer position at Bubble?

To be considered for the ML Research & Implementation Engineer position at Bubble, candidates should have a Master’s or PhD in AI, ML, or a related field combined with at least 2 years of experience working with LLMs and AI model optimization. Alternatively, 5 years of substantial industry experience in machine learning or software engineering is acceptable. Proficiency in tools like Python and an understanding of transformer models, retrieval-augmented generation, and dataset curation are essential.

Join Rise to see the full answer
What is the workplace culture like for ML Research & Implementation Engineers at Bubble?

Bubble fosters a collaborative and innovative workplace culture, particularly for ML Research & Implementation Engineers. You’ll work in a team that encourages creativity and values different perspectives. Regular in-person meetings and events like happy hours and catered lunches help build camaraderie and teamwork, aligning with our goal of empowering employees to succeed and develop professionally.

Join Rise to see the full answer
How does Bubble support the professional development of ML Research & Implementation Engineers?

At Bubble, we are committed to investing in the professional growth of our ML Research & Implementation Engineers. This includes opportunities to engage in cutting-edge projects, access to training in the latest AI technologies, and a workplace that promotes creativity and experimentation. Moreover, regular feedback and collaborative teamwork will ensure that you continue to learn and excel in your role.

Join Rise to see the full answer
What technologies will I work with as a ML Research & Implementation Engineer at Bubble?

As a ML Research & Implementation Engineer at Bubble, you will work with a diverse tech stack including Python for AI and ML, Typescript for frontend and backend development, and various AI tools like Hugging Face and LangChain. You'll also engage with AWS for infrastructure needs, supporting your efforts in developing and optimizing our AI models and workflows.

Join Rise to see the full answer
Common Interview Questions for ML Research & Implementation Engineer
Can you explain your experience with large language models (LLMs) in your previous projects?

In responding to this question, detail specific projects where you utilized LLMs. Highlight your role in optimizing their performance, the techniques you applied, and the outcomes achieved. Mention any innovations or efficiencies that were realized as a result of your work with LLMs.

Join Rise to see the full answer
How do you approach fine-tuning and optimizing AI models?

When answering, describe your methodology for fine-tuning AI models, including the criteria you use to evaluate performance. Provide examples from past experiences, illustrating your analytical approach, and how adjustments contributed to improved outcomes.

Join Rise to see the full answer
What experience do you have with agentic AI workflows?

Discuss any relevant experience you possess with agentic AI workflows, focusing on specific implementations or projects. Describe your understanding of how these workflows can enhance user experience in application development and any challenges you overcame during implementation.

Join Rise to see the full answer
How have you collaborated with cross-functional teams in your previous roles?

Emphasize your collaborative spirit and communication skills by sharing examples of how you worked with diverse teams. Detail the projects involved, the role you played, and how your contributions affected the overall success of the project.

Join Rise to see the full answer
What techniques do you use to enhance model reasoning in AI applications?

Describe the strategies and techniques you employ to improve AI model reasoning, such as data preprocessing, feature engineering, and choice of algorithms. Sharing specific case studies where these techniques led to significant advancements will demonstrate your expertise.

Join Rise to see the full answer
Can you discuss a time when you faced a technical challenge with AI models, and how you overcame it?

Provide a detailed narrative of a technical challenge, outlining the situation, your thought process, and the steps you took to resolve the issue. Highlight the lessons learned and how this experience influenced your approach to future challenges.

Join Rise to see the full answer
What tools are you proficient in, and how have you utilized them in AI projects?

List the tools you are proficient in, such as Python or specific libraries, and provide examples of how you applied these tools in your projects. Discuss any innovative solutions you developed using these technologies.

Join Rise to see the full answer
Describe your experience with dataset curation and its importance in model training.

Talk about your experience with dataset curation and why it's crucial for AI model training. Share strategies you've used to ensure that datasets are representative and robust, along with how these efforts have impacted model performance.

Join Rise to see the full answer
How do you stay updated on the latest advancements in AI and machine learning?

Share the methods you use to stay informed, whether through literature, online courses, seminars, or participation in academic conferences. Mention any particular areas of AI that particularly interest you and why.

Join Rise to see the full answer
What are some challenges you foresee in AI-powered application development?

Address this question by discussing anticipated challenges such as model accuracy, user adoption, and ethical considerations. Get specific about how you would approach solving these challenges based on your experiences.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 9 days ago

Join Visa’s Technology Organization as a Staff DevOps Engineer and tackle complex problems while working with advanced technologies.

Photo of the Rise User

Step into a dynamic role with Boeing as an Escape Systems Engineer, focusing on innovative designs for defense and security solutions.

Coffman Engineers, Inc. Hybrid 1050 SW 6th Ave, Portland, OR 97204, USA
Posted 11 days ago

Join Coffman Engineers as a Fire Protection Engineer and contribute to innovative design solutions with a talented team dedicated to excellence.

Photo of the Rise User
Veolia Environnement SA Hybrid 4001 Weston Pkwy, Cary, NC 27513, USA
Posted 5 days ago

Join Veolia Group as an Application Engineer II and help drive ecological transformation through innovative project solutions.

Posted 8 days ago

Crunchyroll seeks a highly skilled Staff DevOps Engineer to automate and enhance their core infrastructure for an unparalleled streaming experience.

Photo of the Rise User
Posted 2 days ago

Join a dynamic team at UES as a CADD Operator/Drafter and contribute to innovative engineering solutions across various sectors.

Photo of the Rise User
VTI Hybrid US, Floyd County, GA; Georgia, Rome, GA
Posted 14 days ago

VTI of Georgia, Inc. is seeking a Continuous Improvement/Engineer I to drive efficiency and innovation in manufacturing processes.

Photo of the Rise User
ManTech Hybrid US, Anne Arundel County, MD; Maryland, Hanover, MD
Posted 19 hours ago

Join ManTech as a Cloud DevOps Engineer and leverage your expertise in cloud computing to support enterprise infrastructure for national defense.

MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 4, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
LATEST ACTIVITY
Photo of the Rise User
Someone from OH, Cincinnati just viewed Email Marketing Coordinator at Creative Circle
Photo of the Rise User
Someone from OH, Columbus just viewed UX Researcher, Amazon Autos at Amazon
Photo of the Rise User
Someone from OH, Cincinnati just viewed AI training and enablement at Writer
Photo of the Rise User
Someone from OH, Cincinnati just viewed Data Analyst (Contact Center-Hybrid) at Dow Jones
Photo of the Rise User
Someone from OH, Delaware just viewed Practice Group Manager at LifeStance Health
Photo of the Rise User
Someone from OH, Youngstown just viewed Event Services Human Resources Coordinator at Allied Universal
Photo of the Rise User
Someone from OH, Columbus just viewed IP Network Engineering Intern - Summer 2025 at Bandwidth
Photo of the Rise User
Someone from OH, Cleveland just viewed Director, Education Programs & Partnerships at Encoura
Photo of the Rise User
11 people applied to UI Developer Intern at RainFocus
Photo of the Rise User
Someone from OH, Cleveland just viewed Operations Associate (Part-Time) - Pinecrest at Alo Yoga
Photo of the Rise User
Someone from OH, Dayton just viewed Medical Receptionist at LifeStance Health
Photo of the Rise User
Someone from OH, Coldwater just viewed Engineering Design Checker Jobs at Lockheed Martin
Photo of the Rise User
Someone from OH, Loveland just viewed SEO Admin & Business Support at Outliant
Photo of the Rise User
Someone from OH, Columbus just viewed Casting: Cedar Lake - Pilot Episode at Backstage
Photo of the Rise User
Someone from OH, Mount Orab just viewed Software Development Manager at Assured Guaranty
H
Someone from OH, Mansfield just viewed Medical Appointment Setter (Remote LatAm) at HireHawk
Photo of the Rise User
89 people applied to Electrical Apprentice at Aerotek