Samsung Machine Learning Model Engineer 

United States, California, Mountain View 

172533672

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 platform 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

Experience 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

• Solid theoretical background in machine learning and/or data mining

• Rich hands-on experience with production-grade machine learning solutions

• Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)

• Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.)

• 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 $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.