Staff Software Engineer AI/ML

Staff Software Engineer AI/ML 

Samsung DSA has launched a new AI initiative to build the foundational capabilities for practical, agentic AI systems. The AI Innovation team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation Agentic AI framework. We aim to enable LLMs to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.

Location:   Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy

What You’ll Do

• Collaborate with cross-functional teams of engineers and architects to identify and develop Generative and Agentic AI solutions that drive business value
• Design and implement customized ML models and execute experiments to evaluate the performance of algorithms and identify areas for improvement
• Finetune and optimize pre-trained large-scale ML models, and deploy them into production environments ensuring scalability and reliability
• Integrate AI/ML models into agentic AI systems to enhance creativity, productivity, and personalization
• Create new capabilities that solve critical business problems and influences business leaders to shape product and technology strategy

What You Bring

• MS or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on Machine Learning.
• 4+ years of experience in an ML role with an emphasis on data and experiment driven model development
• Strong research experience in machine learning, computer vision, and/or natural language processing
• Practical experience training or fine-tuning large-scale ML or LLM models is highly desirable
• Experience with ML frameworks such as PyTorch and TensorFlow
• Experience building and productionizing innovative end-to-end Machine Learning systems
• Proficiency in one or more coding languages such as Python
• Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR) are a plus
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

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