Research Engineering Intern - Machine Learning - Remote

Overview

Supra is pioneering the future of information services in global markets. As an exciting, ambitious, and well-funded startup with unique technical capabilities, we aim to be a future leader in decentralized data. Our team includes professionals, academics, and advisors with experience from leading institutions such as Purdue University, University of Cambridge, University of Pennsylvania, Columbia University, and University of Oxford. Additionally, our industry experience includes prestigious companies like JPMorgan Chase & Co., Qualcomm, ConsenSys, and Binance. Based in Switzerland with a remote-first policy, our globally distributed team spans over 35 countries. We are dedicated to solving the Oracle Dilemma through innovative solutions in consensus mechanisms, real-time data services, decentralized finance (DeFi), and Layer 1 (L1) technologies.

Trust, kindness, honesty, and a commitment to ethical, decentralized technologies are the cornerstones of our culture.

 

In Short

• We are seeking talented and driven Research Engineering Interns with a focus on Machine Learning.
• This role is ideal for candidates passionate about machine learning technologies.
• Responsibilities include studying research papers and evaluating research ideas.
• Implementing prototypes and production-ready software is part of the role.
• Expertise in Rust and C/C++ is essential.
• Understanding OS performance and debugging processes is required.
• Experience with data extraction techniques is beneficial.
• Parallel programming and threading knowledge is desired.
• Flexible working hours in a fully remote environment.
• Competitive compensation packages aligned with market standards.

Requirements

• A minimum of a master’s in computer science.
• Expertise in machine learning concepts.
• Some research experience is preferred.

Benefits

• Flexible paid time off and sick leave options.
• Health benefits including medical, dental, and vision coverage.
• Recognition of national holidays specific to each team member’s country.