Software Engineer, Machine Learning

Requirements

• Experience in software engineering, or a relevant field
• 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

What You'll Be Doing

• 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 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 an effective feature roadmap
• Code deliverables in tandem with the engineering team

Nice to Haves

• 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