Full-Time Software Engineer, Machine Learning

Responsibilities

Leading projects or small teams of people to help them unblock, advocating for ML excellence

Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

Suggest, collect and synthesize requirements and create effective feature roadmaps

Code deliverables in tandem with the engineering team

Minimum Qualifications

6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD

2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field

Experience with scripting languages such as Python, Javascript or Hack

Experience with developing machine learning models at scale from inception to business impact

Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

Experience building and shipping high quality work and achieving high reliability

Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

Masters degree or PhD in Computer Science or another ML-related field

Exposure to architectural patterns of large scale software applications

Experience with scripting languages such as Pytorch and TF