Samsung Electronics America, Inc. is looking for a Machine Learning Model Engineer to join our Ads Platform Intelligence team. You will lead a team to deliver production-grade machine learning solutions with significant business impact from end to end.
What You'll Do
- 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.
What We're Looking For
- Master’s or PhD degree in Computer Science or related fields.
- 6+ years of industry experience with a Master’s degree or 4+ 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.
Nice to Have
- 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.
Technical Stack
- ML Libraries: TensorFlow, PyTorch, Spark ML
- Big Data Tools: MapReduce, Spark, Flink, Kafka
- Languages: Python, Go, SQL
Team & Environment
Part of the Samsung Ads Platform Intelligence (PI) team, working closely with a talented engineering team and top-notch researchers.
Benefits & Compensation
- Compensation: $240,000-$280,000 (for candidates based in Mountain View, CA)
- Medical, Dental, and Vision coverage
- Life Insurance
- 401(k) plan
- Employee Purchase Program
- Tuition Assistance (after 6 months)
- Paid Time Off
- Student Loan Program (after 6 months)
- Wellness Incentives
Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
