Software Engineer, Machine Learning

This role is based in Menlo Park, CA with the possibility of telecommuting from anywhere in the U.S.

Compensation:

$235,477/year to $240,240/year + bonus + equity + benefits

Responsibilities:

• Research, design, develop, and test operating systems-level software for massive social data and prediction problems.
• Work on ranking, classification, recommendation, and optimization problems.
• Develop highly scalable systems and algorithms leveraging deep learning and data regression.
• Analyze and synthesize requirements and bottlenecks in technology and systems.
• Adapt standard machine learning methods for modern parallel environments.

Minimum Qualifications:

• Master’s degree in Computer Science or related field and three years of relevant experience.
• Experience with machine learning frameworks like PyTorch, MXNet, or Tensorflow.
• Proficiency in Python, PHP, or Haskell.
• Knowledge of relational databases and SQL.