Staff Engineer Platform Architecture jobs at Samsung in United States, Mountain View

Role and Responsibilities

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, a related field, or a foreign equivalent plus 6 years of progressively responsible postbaccalaureate experience in job offered or related QA/Engineer/IT role.

• Applicants must have 6 years of in the following: (1) Data structures and Algorithms to review design for micro services; (2) Analytical and Programming skills for automation coding with test frameworks; (3) Object oriented programming concepts; (4) Nodejs, Golang and React; (5) Performance Test Scripting using Frameworks including JMeter and Locust; (6) Microservices architecture for scalable platform; (7) Task break down for automation framework and scripting tasks; and (8) DevOps Setup, CI/CD Pipeline creation and Periodic test report generation for feature releases.

Role and Responsibilities

• Lead a data science team as a tech lead to deliver production-grade solutions, maximizing data value and optimizing our systems
• Develop optimization and machine learning solutions for various components of the ad serving system, including but not limited to targeting, pacing, pricing, and bidding
• Drive business growth by proposing and delivering end-to-end data science projects into production
• Proactively analyze the business health of the Samsung Ads ecosystem, identify product bottlenecks, uncover new business opportunities, support strategic decision-making, and propose technical solutions
• Develop metrics and measurement frameworks to assess machine learning models, attribution, incrementality testing, and campaign performances
• Communicate effectively and present to diverse audiences, including leadership teams, engineering stakeholders, and product owners

Experience Requirements:

• Master’s or PhD degree in science or engineering 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 data analytics, data mining, machine learning, and statistics
• Outstanding problem-solving skills and creative thinking to address open challenges in various fields
• Proficiency in SQL and databases
• Strong programming skills in Python, Go, or other OOP languages
• Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
• Excellent communication and interpersonal skills

Preferred Experience Requirements:

• Hands-on experience with production-grade machine learning solutions and/or software development
• Experience with the advertising industry and real-time bidding (RTB) ecosystem
• Experience with advertising technology is ideal.
• Experience with ad pacing or bid optimization is ideal but not required.

Role and Responsibilities

Master’s degree in Computer Science, Information Systems, a related field, or a foreign equivalent plus 3 years of post-baccalaureate experience in job offered or any software engineering/product manager related job titles.

Applicants must possess 3 years of experience in the following: (1) Writing product specifications including refinement of product feature for technical design solutions and UX mockups; (2) Roadmap Creation, Maintenance and prioritization; (3) Program management including monitoring and measuring launched products; (4) Confluence, JIRA, and Smartsheet; (5) executing a targeted product marketing campaign; and (6) implementing product trials, proposing technically feasible solutions and setting accurate expectations on effort and timelines for integration.

Role and 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.

Role and Responsibilities

• Bachelor’s degree in Computer Science, Computer Information Systems, Electrical Engineering, a related field, or a foreign equivalent plus 5 years of progressively responsible postbaccalaureate experience in job offered or any engineering related job titles.

• Applicants must possess at least 5 years of experience in the following: (1) building single-page applications (React, Typescript) with GraphQL or RESTful APIs; (2) JavaScript, HTML, CSS, and front-end libraries and frameworks including React, Angular, or Vue.js; (3) test-driven development and ability to write automated tests (Jest); (4) performance optimization, responsive design, and cross-browser compatibility; and (5) version control system Git and front-end build tools including Webpack, NPM.

• Working with our TV and Mobile product managers, lead the end-to-end development process for mini-games for Mobile, from conception and scoping to execution, release, and live operations.
• Define project scope clearly and produce detailed project requirement documents.
• Partner closely with engineering teams to ensure technical feasibility, robust documentation, and best-in-class developer experience.
• Collaborate with internal stakeholders across product, engineering, and design to ensure capabilities, features and objectives align with strategic business objectives and user engagement goals.
• Champion the user and developer experience through strong product thinking, usability improvements, and rapid iteration based on performance and partner feedback.
• Function as the creative owner of the game projects, ensuring that each game is fun, exciting, and enjoyable for our users.
• Review and evaluate game pitches from external developers, collaborating with internal stakeholders to greenlight projects that align with strategic goals.
• Manage and coordinate with third-party development teams, ensuring alignment with project goals, timelines, and quality standards.
• Track project progress, proactively manage timelines, and ensure that milestones and deadlines are consistently met.
• Identify, communicate, and manage potential risks and roadblocks to ensure smooth project progression.
• Regularly report project status to internal stakeholders, providing clear visibility into project health and progress.
• Facilitate stakeholder reviews, collect feedback systematically, and integrate feedback effectively into ongoing game development.
• Coordinate with external vendors to procure and deliver necessary assets to development teams efficiently.
• Oversee the successful delivery and launch of games, ensuring high-quality standards are consistently met.
• Manage post-launch game enhancements to continually optimize performance, user engagement, and overall player experience.

• 7 + years of professional experience leading creative projects in game development, particularly in developing small games or casual gaming experiences.
• Strong technical understanding of interactive media platforms, SDK development, and documentation standards.
• Demonstrated success in building or scaling platform tools for third-party developers, especially in gaming or entertainment.
• Excellent communication skills with a knack for translating complex technical concepts into accessible, partner-friendly documentation.
• Proven ability to work cross-functionally and drive alignment between engineering, product, and external development partners.
• Passion for innovation in gaming, interactive media, and the future of content engagement on connected TVs.
• Passion for creating high-quality, engaging game experiences tailored for connected TV and Mobile platforms.

C

Role and 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
• 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

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