Machine Learning Engineer

Summary

Join Quora's remote-first engineering team and contribute to the advancement of their machine learning systems. This role involves improving existing systems, identifying new applications of machine learning across Quora's products, and collaborating with engineers to implement efficient algorithms and systems. You will take end-to-end ownership of machine learning systems, from data pipelines and training to real-time prediction engines. The ideal candidate is a recent graduate with a strong understanding of machine learning algorithms and proficiency in Python or C++. Quora offers a wide range of benefits, including medical/dental/vision coverage, equity refreshers, remote work reimbursement, and paid time off. The position is open to applicants from multiple countries, with specific salary ranges provided for US and Canada-based candidates.

Requirements

• Ability to be available for meetings and impromptu communication during Quora's “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time)
• A 2023, 2024, or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Strong understanding of mathematical foundations of Machine Learning algorithms
• Knowledge of Python or C++, or the ability to learn them quickly
• A passion for learning and always improving yourself and the team around you

Responsibilities

• Improve our existing Machine Learning systems using your expertise
• Identify new opportunities to apply Machine Learning to different parts of the Quora product
• Work with other engineers to implement algorithms and systems in an efficient way
• Take end-to-end ownership of Machine Learning systems -- from data pipelines and training, to realtime prediction engine

Preferred Qualifications

• Previous software engineering experience via an internship, work experience or coding competition
• Passion for Quora's mission and goals

Benefits

• Medical/dental/vision coverage
• Equity refreshers
• Remote work reimbursement
• Paid time off
• Employee assistance programs