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Company Overview
A prominent technology company builds technologies that help people connect, find communities, and grow businesses. Since its initial launch in 2004, it has revolutionized how people connect. Apps like Messenger, Instagram, and WhatsApp have further empowered billions worldwide. The company is now moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with this company help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.1
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