Software Engineer (Frontend)

Location: San Francisco (flexible/hybrid)

At Cleanlab you’ll get to

Develop next-generation web applications for data-centric AI. Our tools enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets thus improving the quality of their business’s core asset.

Work on interesting challenges (novel interfaces for data visualization/interpretation and editing raw data directly) using modern tech stack at a dynamic startup operating in one of the fastest growing subfields of data science & AI.

What we’re looking for

As a Cleanlab software engineer, you will be responsible for building Cleanlab Studio, a user-friendly web app powered by our data-centric ML algorithms. You’ll work on beautiful and easy-to-use interfaces for data visualization, interpretation, and correction of various issues found in datasets.

We encourage applications from software engineers who have an eye for elegant UI/UX and data visualization, and are interested in furthering their skills in building Data Science applications. No previous ML/AI experience is required, but bonus points if you have previously worked on UX for ML/AI or Data platforms.


  • Work closely with UX designers, product managers, and back-end engineers to implement versatile front-end solutions to web development issues.
  • Explore product concepts to find promising directions that address both human and business needs, with an eye for detail to ensure the highest quality product.
  • Deliver innovative, engaging prototypes using the latest in front-end technologies, particularly in the areas of data visualization/manipulation and web app UI.
  • Collaborate with other engineers to build streamlined systems and help establish a strong engineering culture across the company.


This is a senior role! Candidates must have at least 5+ years work experience developing web apps using a modern tech stack and shipping code to production. Schoolwork does not count here, experience means writing frontend code powering products with complex UX used by massive numbers of people. You must be extremely comfortable with the following tools:

  • React.js/Next.js
  • JavaScript/TypeScript
  • HTML
  • CSS + some CSS Framework (Chakra UI, Tailwind, Bootstrap)
  • Figma


  • Knowing what a data scientist or ML engineer does with a dataset
  • UX/UI Design Experience (comfortable with everything in this course)
  • Module bundlers, e.g. Webpack
  • Visualization libraries, e.g. D3.js
  • React testing libraries, e.g. Jest
  • Desktop app frameworks, e.g. Electron


Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:

  • Annual travel stipend
    • Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.
  • Premium health insurance (+ dental and vision)
    • We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.
  • Stipend for attending conferences to keep up with the latest innovations in ML and software.
  • Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

The compensation range for this role is $130,000 to $180,000. The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.

About Us

Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.

While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.

We are a hybrid company, with over half of our team (and office) located in San Francisco.

  • Read about the Cleanlab team here.
  • Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here.
  • See what Google, Tencent, and other Cleanlab users think here.

How to Apply