Description

You will design and deploy scalable machine learning models within distributed, multicore, and GPU-accelerated environments.

Responsibilities

• Adapt standard machine learning methods to leverage modern parallel environments like distributed clusters and GPUs.
• Develop scalable classifiers and tools using machine learning, data regression, and rules-based models.
• Synthesize requirements from cross-functional teams to inform model development.
• Write and ship high-quality code in tandem with the engineering team.
• Improve system quality through code reviews, testing, rollout strategies, and proactive monitoring.

Required Skills

• 6+ years of experience in software engineering or a relevant field.
• 2+ years of experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
• Experience developing machine learning models at scale from inception to business impact.
• Proficiency in Python, Javascript, or Hack.
• Experience developing and debugging in C/C++ and Java.
• Experience with scripting languages such as Perl, PHP, or shell scripts.
• Exposure to architectural patterns for large-scale software applications.
• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.

Preferred Skills

• Masters degree or PhD in Computer Science or an ML-related field.
• Experience with PyTorch or TensorFlow.
• C++ experience.

Key Skills

Education

Any Graduate