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Senior Staff Machine Learning Engineer

Job not on LinkedIn

🔥 51 minutes ago

🗽 New York – Remote

info

đź’µ $245k - $319k / year

⏰ Full Time

đźź  Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Logo of Etsy

Etsy

1001 - 5000 employees

Founded 2005

🛍️ eCommerce

🏪 Marketplace

đź›’ Retail

đź’° Post-IPO Equity on 2017-05

eCommerce • Marketplace • Retail

Etsy is the global marketplace for unique and creative goods. It connects creative entrepreneurs from nearly every country around the world with buyers shopping for something special. Etsy is committed to keeping commerce human by providing a platform for sellers of handmade, vintage, and craft items to reach a global audience. The company focuses on sustainability, diversity, equity, and inclusion, encouraging an environment where employees can thrive and make a meaningful impact. With flexible work modes and comprehensive benefits, Etsy continues to build and evolve tools and technologies that support its large community of entrepreneurs and buyers worldwide.

đź“‹ Description

• Identify customer problems and opportunities • Lead teams to research, architect, design, and operationalize AI/ML solutions • Collaborate with cross-functional leaders to define and execute product and technical roadmaps for ML solutions • Drive cross-functional technical alignment and execution across engineering teams • Lead R&D in advanced AI, focusing on mid- and long-term research topics • Provide technical leadership and mentorship to engineers across the organization • Apply data-driven technical decision-making and experimentation • Architect the next generation of AI/ML models and systems for Search, Recommendations, and Ads • Define and lead technical strategy for core AI/ML solutions • Build personalized customer experiences for Etsy buyers and sellers

🎯 Requirements

• 10+ years of progressive experience in ML and AI • Track record of building large-scale, high-performance models and systems • Deep experience with end-to-end ML/AI development, including large-scale model training and serving • Foundational and practical understanding of machine learning principles and productionizing models at scale • Proficiency with data processing frameworks such as Spark, Beam, and Hadoop • Proficiency with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn • Ability to define and solve highly ambiguous or unconstrained technical problems • Track record collaborating with engineers, leaders, and product managers on complex projects • Commitment to supporting and mentoring engineers

🏖️ Benefits

• Flex mode, Remote mode, and Office-based mode work options • Career growth and learning in a blameless environment • Visa sponsorship support, subject to role and skill limitations • Disability accommodations during the application or interview process

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