Engineer III, Machine Learning

Samsung Electronics • Mountain View, CA

6d • Hybrid

About The Position

MULTIPLE POSITIONS AVAILABLE Company: Samsung Electronics America Inc. Position Title: Engineer III, Machine Learning Location: Mountain View, CA Job ID: SAM9441241 Position 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.

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.
• Must have two years of experience in the following skills: (1) leading cross-functional product development projects for e-commerce or digital consumer platforms; (2) using experimentation, analytics, and research to determine and inform product decisions; (3) experience with personalization systems, recommendation engines, behavioral targeting, and customer segmentation; (4) experience with experimentation platforms and statistical testing methods including A/B and multivariate testing; (5) experience communicating complex concepts to cross-functional stakeholders and managing stakeholder relationships; and (6) experience creating intuitive, engaging, and impactful user experiences with measurable outcomes.
• Partial telecommuting permitted; employees will be required to report to office multiple days per week.
• Hours: Full Time, 40 hours/week.

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: Mid Level
• Number of Employees: 251-500 employees