Staff Machine Learning Engineer, User Understanding

Job not on LinkedIn

4 days ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $176.9k - $364.3k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Zigsaw

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Making Job-search and talent discovery simpler, faster and effective for Job-seekers.

11 - 50 employees

Founded 2016

📋 Description

• Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth. • Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features. • Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics. • Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals. • Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.

🎯 Requirements

• Hands-on experience developing and deploying large-scale machine learning systems in search, recommendation or advertising. • Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems. • 6+ years of industry experience in applied machine learning or closely related roles. • Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions. • Bachelor’s/Master’s degree in a relevant field such as computer science or equivalent experience.

🏖️ Benefits

• Equity • Flexibility to work in a way that suits you