Machine Learning Model Engineer 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

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.

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

Role and Responsibilities

Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, a related field, or a foreign equivalent plus 8 years of progressively responsible postbaccalaureate experience in job offered or any related engineering job titles.

Applicants must possess 8 years of experience in the following: (1) Software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations; (2) Development in Node.js and JavaScript; (3) Building REST based reactive Microservices platform and Leveraging frameworks like Hapi.js and / or Express.js; (4) Relational and NoSQL databases PostgreSQL, RethinkDB, or MongoDB; (5) search and analytics tools and technologies ElasticSearch and Kibana; (6) event/message driven system design and architecture; (7) leveraging technologies including RabbitMQ and Kafka; (8) data structures, algorithms, enterprise systems, and asynchronous architectures; (9) DevOps process and tooling for deployment, monitoring and site reliability engineering; (10) Managing Applications in the Cloud including leveraging technologies Kubernetes, Docker and AWS.

Role and Responsibilities

• Build and lead a global world-class ML engineering team recognized across the industry.
• Lead end-to-end feature teams consisting of both ML and non-ML engineers to ensure on-time, high-quality execution of projects and deliver ML-powered advertising solutions with substantial revenue impact.
• Closely work with cross-site cross-functional stakeholders to refine the product strategy, create effective roadmaps, and drive products from ideation to general availability.
• Establish and drive the long-term vision and executable strategies for the ML team.
• Take initiative to research the latest ML technologies, keep up-to-date with industry trends and developments, and advance the team’s ML capabilities.
• Ideate new ML projects with significant business value and create proof of concepts.
• Introduce and enforce best engineering practices, uphold engineering quality standards, and streamline ML development and deployment processes.
• Work with external partners to introduce new ML features and tools and assess new opportunities.
• Manage performance, career growth and engagement of team members and foster a culture of technical excellence, collaboration, and innovation.

Skills and Qualifications

• Master’s or PhD degree in Computer Science or related fields.
• 10+ years of industry experience with a Master’s degree or 7+ years of industry experience with a PhD degree.
• Proven track record of delivering advertising-related ML products with substantial revenue impact.
• Solid theoretical background in ML.
• Deep understanding of scalable ML systems, platforms, models, and methodologies.
• Excellent communication and interpersonal skills; ability to influence at all levels.
• Strong technical leadership and organizational abilities.
• Excellent project and people management skills.

Preferred Experience Requirements:

• Experience with performance ads solutions.
• Experience in leading a global team across time zones and cultures.
• Basic knowledge about Amazon Web Services (AWS) and Snowflake.
• Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)