Internships

Machine Learning Intern

We hire a select few interns every fall/spring/summer, working on various applied Machine Learning and Data Science projects.

As a small startup, we can only take interns capable of completing high-value projects independently. This means you must at least be in your junior year of college (graduate students preferred).

Interns must have extremely strong Python skills and collaborative software development experience (GitHub, CI/CD, etc), as well as extensive coursework in Data Science, Analytics, or Machine Learning. Please link to your favorite project (GitHub, blogpost, etc), ideally something that showcases your writing skills, ability to produce graphics/visualizations, coding skills, Data Science knowledge, creativity, and overall desire to use AI to solve impactful problems.

Internships may be fully remote, but if you prefer to work in an office, we have a nice one in San Francisco.

Benefits

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:

• Premium health insurance, including dental and vision.
• Professional development stipend to keep up with the latest innovations in ML and software.
• 401(k) with employer match.
• Unlimited PTO, unlimited sick days, 10 company-wide holidays.
• Work with a talented team unified by a vision to solve challenging problems in artificial intelligence.
• Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.
• Relocation bonus to move to San Francisco.

The compensation range for this role is $30 to $50/hr. 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/systems 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 help companies build reliable AI applications — unlocking the ability to use AI on many real-world applications where reliability is paramount. We develop next-generation data-centric AI, open-source algorithms and build APIs and web applications to help individuals and teams at companies across all industries build reliable AI.

While many companies can help build AI models, there exist few solutions today to build make this AI reliable, which is essential for production deployments of AI. This is where you come in. At Cleanlab, you'll be able to take ownership of critical projects that pioneer the future of AI reliability.

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.