Full-Time Software Engineer, Machine Learning

Responsibilities

Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence

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

Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate

Leading a team from a technical perspective to develop ML best practices and influence engineering culture

Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it

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

Suggest, collect and synthesize requirements and create effective feature roadmap

Code deliverables in tandem with the engineering team

Minimum Qualifications

8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD

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

Experience with scripting languages such as Python, Javascript or Hack

Experience leading major initiatives successfully

Experience building and shipping high quality work and achieving high reliability

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 demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions

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 a related technical field

Exposure to architectural patterns of large scale software applications

Experience with scripting languages such as Pytorch and TF