Senior Machine Learning Engineer Lead
6 days ago
About Meta Inc
Meta is embarking on a transformative journey, and our machine learning engineers play a crucial role in shaping this evolution. As a Senior Machine Learning Engineer Lead, you will be at the forefront of this change, leading critical projects and initiatives that have never been done before. This opportunity allows you to advance the way people connect around the world.
What You Will Do
- Set the direction and goals for a sizable team, focusing on project impact, ML system design, and excellence.
- Adapt standard machine learning methods to best exploit modern parallel environments.
- Evaluate tradeoffs of existing features/ML systems and drive large efforts across multiple teams to reduce technical debt.
- Lead a team in developing ML best practices and influencing engineering culture.
- Escalate complex online/production performance issues, requiring in-depth knowledge of how the machine learning system interacts with surrounding systems.
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
- Suggest, collect, and synthesize requirements, creating an effective feature roadmap.
- Collaborate with the engineering team to deliver code.
Minimum Qualifications
- 8+ years of experience in software engineering or a relevant field (4+ years with a PhD).
- 6+ years of experience in one or more areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Experience with scripting languages such as Python, JavaScript, or Hack.
- Success in leading major initiatives.
- Built and shipped high-quality work with high reliability.
- Developed machine learning models at scale from inception to business impact.
- Knowledge of C/C++ and Java development, or experience with scripting languages.
- Demonstrated technical leadership working with teams, owning projects, and setting technical direction.
- Utilized data and analysis to explain technical problems and provided feedback and solutions.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
Estimated Annual Salary: $175,000 - $225,000 + bonus + equity + benefits
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