HANDS-ON FELLOWSHIP PROGRAM
We give aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous experience. Program highlights:
Build scalable machine learning models with agile software development methodology
Mentoring by experienced ML practitioners
Pair program with other fellows
Apply latest research in deep learning, reinforcement learning, generative adversarial networks
Full-time for three months
Fully remote with optional in-person collaboration
Fully remote ML program with interactive projects
Fellows from previous cohorts are now in data science roles at Uber Advanced Technologies Center, Facebook, Yelp, Google, Salesforce, Orange, and Ernst & Young. See a complete list of our past fellows.
During the program, every fellow must submit a daily scrum update of their work and progress. These scrums will be recorded and later on reflected on your recommendation letters. This way, each fellow will be able to get detailed documentation and a letter. That being said, codes’ qualities, reading groups presentations, demo sessions performances, and blog contributions will also be reflected in the letter and reported to the partnering companies.