Staff Software Engineer, Machine Learning
Skills
- Expertise in mainstream recommender system architectures such as two-tower, transformer-based, multi-task learning.
- Proficiency in Python and ML frameworks like PyTorch, JAX, or TensorFlow.
- Experience building and deploying machine learning systems at scale from ideation to production.
- Strong product intuition and ability to build applications grounded in user feedback.
- Excellent communication and collaboration skills to lead complex cross-team technical initiatives.
Responsibilities
- Set architectural direction and raise the technical standard for the ML Discovery/Engagement team.
- Design, build, and scale low-latency, high-throughput recommender systems impacting tens of millions of users daily.
- Develop and deploy advanced ML models using deep learning, reinforcement learning, and optimization techniques.
- Collaborate cross-functionally to define ML product roadmaps balancing iteration speed with scalability.
Education
- Master’s or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or related field required.
Benefits
- Competitive base salary with equity and comprehensive benefits.
- Opportunities for remote work with an optional Bay Area office presence.
- Work on impactful projects with a global user base in a highly innovative tech company.
Average salary estimate
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