Machine Learning Engineer

This role is based in Menlo Park, CA.

Compensation:

$222,950/year to $250,250/year + bonus + equity + benefits

Responsibilities:

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

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field.
• Experience with machine learning frameworks like PyTorch, MXNet, or TensorFlow.
• Knowledge of machine learning algorithms and their applications.
• Proficiency in programming languages such as C, C++, Java, and scripting languages like Python.
• Understanding of agile methodologies such as Scrum and Kanban.