Phd – Machine Learning Engineering Intern
Confirmed live in the last 24 hours
Stripe

5,001-10,000 employees

Financial infrastructure platform for business payments
Company Overview
Stripe stands out as a leading financial infrastructure platform, providing robust payment solutions that empower businesses of all sizes, from startups to large enterprises, to grow and adapt swiftly. The company's culture encourages technical innovation, offering low-to-no-code solutions and API-based integrations that are easy to implement yet scalable, making it a competitive choice in the industry. With a mission to increase the internet's GDP, Stripe's influence extends globally, with headquarters in both San Francisco and Dublin.
Financial Services
Data & Analytics

Company Stage

Series I

Total Funding

$8.6B

Founded

2010

Headquarters

South San Francisco, California

Growth & Insights
Headcount

6 month growth

8%

1 year growth

15%

2 year growth

22%
Locations
San Francisco, CA, USA
Experience Level
Intern
Desired Skills
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
Requirements
  • PhD in Computer Science, Machine Learning, or a closely related field
  • Practical experience with programming and machine learning
  • Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML Operations, and possibly experience in Natural Language Processing or reinforcement learning
  • Demonstrated ability to work on collaborative projects
  • Proactive approach to learning unfamiliar systems
Responsibilities
  • Develop and deploy large-scale machine learning systems
  • Engage in the end-to-end process of designing, training, improving, and launching machine learning models
  • Write production-scale ML models
  • Collaborate across teams to incorporate feedback and proactively seek solutions to challenges
  • Rapidly learn new technologies and approaches