Machine Learning

Machine Learning

Location: San Francisco, New York City · Internship
Region: North America
Job Type: Other
Job category: Machine Learning Expert
Company Name: Fellowship.AI
Email:
Hours:
Cost:
Application URL: https://angel.co/fellowshipai/jobs/193604-machine-learning-fellow-in-sf-nyc

Description:

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. Our 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, New York, London and Singapore
  • Apply latest research in deep learning, ensemble learners, optimization techniques, etc.
  • Fellows from previous cohorts are now in data science roles at Uber Advanced Technologies Center, Enlitic, Sentient Technologies, Yelp, Orange, etc.
  • Interface directly with commercial customers
  • work on enhancement to the solution portfolio https://launchpad.ai/solutions

Skills:
Coding, Research, Quantitative Analysis, Data Science

What We're Building Fellowship Program:


Data Science is not knowledge to be acquired but rather an art that can 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 machine learning systems for startups.

Working with Startups:
We help startups use machine learning as a key differentiator. Our world-class data scientists actively engage with startups for a year to ensure that machine learning techniques are successfully embedded into new products and a smooth transition is made to an in-house team. We then take on the role of a trusted advisor and provide counsel to founders to set them up for continued success.

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