Machine Learning, Model Engineer (Samsung Ads)

Position Summary
Come join Samsung Ads, where we pride ourselves on being a world-class organization that values entrepreneurial and collaborative spirits. If you're looking for a work environment that will challenge you to grow and achieve more than you ever thought possible, then Samsung Ads is the place for you. We believe in breaking new ground, solving complex problems, and enjoying every step of the journey.
At Samsung Ads, we understand the significance of machine learning in the advertising industry. We are committed to exploring the latest techniques to enhance our existing systems and products and to develop new revenue streams.
Our Samsung Ads Platform Intelligence (PI) team is looking for a Machine Learning Model Engineer with access to exclusive, proprietary data to create and deploy large-scale machine-learning products with real-world impact. You'll be able to work alongside a highly skilled engineering team and accomplished researchers, making a difference by building cutting-edge machine learning products.
Responsibilities

• Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end.
• Design, develop, and deploy scalable, low-latency machine learning products.
• Communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps.
• Closely work with machine learning platforms and serving teams to deploy and streamline machine learning pipelines.
• Optimize and scale up existing machine-learning products.
• Closely work with the MLOps team to ensure product health.
• Closely work with external partners to introduce new machine-learning features and tools.
• Research the latest machine learning technologies and keep up-to-date with industry trends and developments.
• Create quick prototypes and proof-of-concepts for new features.
• Design and implement next-generation machine learning models with advanced technologies.

Requirements

• Master’s or PhD degree in Computer Science or related fields.
• 5+ years of industry experience with a Master’s degree or 3+ years of industry experience with a PhD degree.
• The ideal candidate should possess a robust and extensive theoretical foundation in machine learning and data mining.
• Rich hands-on experience with production-grade machine-learning solutions.
• Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML).
• Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka).
• Extensive programming experience in Python, Go, or other OOP languages.
• Familiarity with data structures, algorithms, and software engineering principles.
• Proficiency in SQL and databases.
• Strong communication and interpersonal skills to drive cross-functional partnerships.

Preferred Experience Requirements

• Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.).
• Basic knowledge about Amazon Web Services (AWS).
• Experience with the advertising industry and real-time bidding (RTB) ecosystem.

CALIFORNIA ONLY
Compensation for this role is expected to be between $270,000 and $290,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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