Senior Staff Machine Learning Engineer (Notifications)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Staff Machine Learning Engineer (Notifications): Designing and implementing large-scale content discovery and recommendation systems for personalized notifications with an accent on retrieval, ranking, and budget optimization. Focus on integrating LLMs, deploying state-of-the-art models at scale, and driving the long-term technical vision for notifications relevance.
Location: Remote (United States)
Salary: $266,000 - $372,400 USD
Company
is a massive community-driven platform focused on shared interests and authentic conversations across over 100,000 active communities.
What you will do
- Design and implement content discovery algorithms to prioritize a seamless and personalized user experience.
- Drive the strategic vision and long-term roadmaps for the notifications relevance team.
- Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization.
- Deploy state-of-the-art ML models and integrate LLMs into production pipelines.
- Collaborate with Product, Infrastructure, and Data Science teams to solve complex technical challenges.
- Mentor and guide senior and staff engineers within the engineering organization.
Requirements
- 10+ years of industry experience with deep expertise in large-scale recommendation systems.
- Strong experience building and deploying ML models using frameworks such as PyTorch or TensorFlow.
- Proven experience working with LLMs in production and utilizing generative AI.
- Proficiency in object-oriented programming using Python and Golang.
- Must be based in the United States.
Nice to have
- Experience with state-of-the-art model architectures.
- Experience building production Agentic AI frameworks.
Culture & Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401k plan with employer match.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave and family planning support.
- Mental health, coaching benefits, and gender-affirming care.
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