Engineer III, Machine Learning

Samsung • Mountain View, CA

4d • Hybrid

About The Position

Samsung Electronics America Inc. is seeking an Engineer III, Machine Learning for multiple positions in Mountain View, CA. This role involves leading the personalization strategy and execution to create seamless, relevant, and impactful user experiences. The position requires close collaboration with various teams including Engineering, Machine Learning, Data Science, Analytics, UX/CX Design, Marketing, and Business to develop and enhance the personalization engine that influences key customer lifecycle touchpoints. The individual will define the vision, roadmap, and execution for personalization initiatives such as recommendations, targeting, and dynamic content. Responsibilities include designing, executing, and analyzing A/B and multivariate experiments to optimize personalized experiences, and working with ML/AI and Engineering teams to build a scalable, modular personalization engine for real-time, tailored experiences. The role also involves partnering with cross-functional teams for alignment and prioritization, serving as an internal subject matter expert in personalization, assessing new feature requests for impact and feasibility, and communicating strategies and results to diverse stakeholders.

Requirements

• Bachelor's degree or foreign equivalent degree in Computer Science, Information Systems, Computer Engineering a related field and five years of progressive post-baccalaureate experience in the job offered or in project management or another related occupation.
• Two years of experience in leading cross-functional product development projects for e-commerce or digital consumer platforms.
• Two years of experience using experimentation, analytics, and research to determine and inform product decisions.
• Two years of experience with personalization systems, recommendation engines, behavioral targeting, and customer segmentation.
• Two years of experience with experimentation platforms and statistical testing methods including A/B and multivariate testing.
• Two years of experience communicating complex concepts to cross-functional stakeholders and managing stakeholder relationships.
• Two years of experience creating intuitive, engaging, and impactful user experiences with measurable outcomes.

Responsibilities

• Lead the personalization strategy and execution for crafting seamless, relevant, and impactful experiences for our users.
• Collaborate closely with Engineering, Machine Learning, Data Science, Analytics, UX/CX Design, Marketing, and Business teams to build and evolve the personalization engine that powers key touchpoints across the customer lifecycle.
• Define the vision, roadmap, and execution for personalization initiatives including recommendations, targeting, dynamic content, and more.
• Design, execute, and analyze A/B and multivariate experiments to improve relevance and performance of personalized experiences.
• Work with ML/AI and Engineering teams to design and develop a modular personalization engine and supporting infrastructure to deliver real-time, tailored experiences at scale.
• Partner with cross-functional teams across the business to ensure alignment, prioritize features, and deliver impactful results.
• Serve as an internal subject matter expert in personalization, advocating for hypothesis-driven development, sharing insights, and guiding teams in personalization methodologies and tools.
• Assess new feature requests and ideas in terms of effort, impact, and feasibility, ensuring focus on initiatives that drive measurable outcomes.
• Clearly articulate strategy, plans, and results to stakeholders at all levels, technical and non-technical alike, ensuring clarity and buy-in across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior