Samsung Electronics America, Inc. is looking to solve the problem of evolving customer expectations in eCommerce by inventing new human-centered, intelligent experiences that go beyond traditional UX and recommendation engines.
Requirements
- PhD or Master’s in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
- 10+ years of industry experience with focus on building machine learning and AI-native solutions and platforms
- Proven experience leading AI product development at scale, driving business impact and delivering real-world value
- Deep expertise in ML frameworks (e.g., TensorFlow, PyTorch) and programming languages, Python, C++
- Strong technical foundation in deep learning, NLP, unsupervised learning, LLM compute time inference and reasoning, e.g. CoT prompting
- Hands-on experience with Generative AI and LLMs, with a track record of delivering business-critical AI solutions
- Expertise in distributed computing, GPU/multi-GPU training, and large-scale data processing
Responsibilities
- Collaborate closely with business stakeholders to prioritize and build AI-native experiences that directly impact key metrics like conversion, engagement, and customer satisfaction
- Architect, implement, and deploy Generative AI and LLM-powered systems to dramatically enhance the product buying journey and deliver measurable business ROI
- Conduct competitive analysis, develop business models, and study industry trends to inform AI strategy and ensure solutions align with market demands and business objectives
- Collaborate with external partners to evaluate AI solutions and assess capabilities that support Samsung's eCommerce initiatives
- Drive the development of autonomous agents that deliver hyper-personalized and intelligent shopping experiences at scale
- Leverage Generative Engine Optimization (GEO) to enhance how products are surfaced, ranked, recommended, and seamlessly purchased within an AI-native, Agentic eCommerce environment
Other
- Ability to translate business needs into technical solutions and ensure alignment between AI initiatives and business goals
- Strong problem-solving mindset and the ability to build scalable solutions that drive product and business outcomes
- Exceptional communication skills, with the ability to articulate complex technical concepts and their business implications to both technical and non-technical stakeholders
- Regular full-time employees have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more
- MBO bonus compensation, based on company, division, and individual performance
