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Benefits offered by this job
Comprehensive Healthcare Benefits
401k with Employer Match
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Job summary
Reddit is seeking a Staff Machine Learning Engineer to lead the Commercial Content Understanding roadmap within the Monetization org. This position requires 7+ years of MLE experience, exceptional technical leadership, and expertise in building NLP models. Responsibilities include mentoring team members, driving operational excellence for ML systems, and enhancing content understanding capabilities. The role offers a competitive salary ranging from $230,000 to $322,000, with additional benefits and flexible vacation options.
Qualifications
7+ years of relevant MLE experience delivering production ML systems at scale.
Demonstrated Staff-level technical leadership; aligned multiple teams on ML systems.
Strong track record building and shipping NLP models to production.
Practical experience using LLMs in production for labeling and evaluation.
Deep experience with PyTorch, TensorFlow, or similar.
Responsibilities
Provide technical leadership and mentorship to MLEs and SWEs in ACU.
Develop evaluation systems and quality monitoring systems for content signals.
Drive operational excellence for ACU’s ML systems.
Lead design and implementation of signals pipelines.
Operate across the full ML lifecycle while championing responsible AI.
Skills
Technical leadership
Communication skills
NLP/Language models
PyTorch
TensorFlow
Tools
Python
Go
Java
C++
Job description
Reddit is seeking a Staff Machine Learning Engineer to lead the Commercial Content Understanding roadmap within the Monetization org. This position requires 7+ years of MLE experience, exceptional technical leadership, and expertise in building NLP models. Responsibilities include mentoring team members, driving operational excellence for ML systems, and enhancing content understanding capabilities. The role offers a competitive salary ranging from $230,000 to $322,000, with additional benefits and flexible vacation options.