Staff Machine Learning Engineer, Growth Engineering
2 weeks ago
What you’ll do:
Own the vision and strategy of ML-based product solutions for Pinterest’s largest user acquisition channel: SEO. Work closely with design, product, and backend teams to find the gap in current ML practices and propose technical solutions to tackle engineering problems.Work side-by-side with backend/fullstack product engineers, data scientists, and a sister frontend user experience team to drive growth via SEO traffic for Pinterest.Leverage LLM/GenAI and other latest innovations to transform the content corpus we surface to search engine and help the team grow the scope of impact.Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that leverage large-scale data.Grow as an engineer by working with world-class peers on varied and high-impact projects.Mentor and guide more junior engineers, providing technical leadership and expertise.What we’re looking for:
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related fields5+ years of industry experience in machine learning in industry and 1+ years of TL in use cases with large scale: content/user understanding, recommendation systems, information retrieval, or search.Hands-on experience working with large scale ML modeling development and productization. Effective collaborator working with cross functional partners and an excellent communicator.Experience with Generative AI and LLM are a plus.Relocation Statement:
This position is not eligible for relocation assistance. Visit our page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
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