Data Science is not knowledge to be acquired but rather an art that must be learned through practice.  The number one qualification employers look for when hiring a data science candidate is previous experience.  The Startup.ML fellowship gives aspiring data scientists the chance to hone their skills by building real-world machine learning applications.  

  • build scalable machine learning models with agile software development methodology
  • full-time for 4 months
  • mentoring by seasoned data scientists
  • pair program with other fellows and mentors
  • we are based in San Francisco and Berkeley
  • apply latest research in deep learning, ensemble learners, optimization techniques, etc.

Fellows have an opportunity to work on Startup.ML's growing portfolio of finance products in areas like quantitative trading and portfolio construction as well as startup projects from a variety of industries.

Fellows from previous cohorts are now in data science roles at Uber Advanced Technologies Center, Enlitic, Sentient Technologies, Yelp, Orange,  etc.


Applying to the fellowship was the best thing I could have done for my career. There’s really no other program like it out there where you can take the lead on a project for a hedge fund and deliver a product that will actually be used. I gained invaluable experience in advanced ML methods that boosted my confidence in interviews and landed me where I am today!
— Trevor Lindsay, Facebook
Startup.ML provided a community of passionate machine learning practitioners and real world projects that helped solidify and deepen my knowledge while at the same time instilling confidence in my ability to bring significant, measurable value to clients.
— Alex Chao, Uber ATC



Featured Hiring Partners

I’m really impressed by everything the Startup.ML team is doing - after spending time on-site, we decided to hire one of the fellows for our medical deep learning company.
— Jeremy Howard, Enlitic