Software Engineer, Machine Learning
- Published on
About the Role
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
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 drive efforts to reduce technical debt, designing from first principles when appropriate.
- Lead a team from a technical perspective to develop ML best practices and influence engineering culture.
- Be the go-to person to escalate the most complex online/production performance and evaluation issues, requiring an in-depth knowledge of the machine learning system.
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
- Suggest, collect, and synthesize requirements to create an effective feature roadmap.
- Code deliverables in tandem with the engineering team.
About the Candidate (Expectations and Nice to Have Skills)
Minimum Qualifications
- Experience in software engineering, or a relevant field.
- Experience in areas such as machine learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
- Proficiency in scripting languages such as Python, Javascript, or Hack.
- Proven experience leading major initiatives successfully and building high-quality work.
- Experience developing and debugging in C/C++ and Java, or proficiency in Python, Perl, PHP, and/or shell scripts.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
Preferred Qualifications
- Masters degree or PhD in Computer Science or a related technical field.
- Exposure to architectural patterns of large scale applications.
- Experience with scripting languages like Pytorch and TensorFlow.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
Company Culture and Benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.