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
- Understand industry & company-wide trends to help assess & develop new technologies
- 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
- Suggest, collect and synthesize requirements and create effective feature roadmap
Minimum Qualifications
- Experience with developing machine learning models at scale from inception to business impact
- Experience leading projects with industry-wide impact
- Vast experience communicating and working across functions to drive solutions
- Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
- Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
- Exposure to architectural patterns of large scale software applications
- Experience in shipping products to millions of customers or have started a new line of product
