{"id":"81u5i6i907","title":"Machine Learning Engineer, Platform – Samsung Ads","posted_at":"2026-02-28T11:03:49.000Z","apply_url":"https://sec.wd3.myworkdayjobs.com/en-US/Samsung_Careers/job/645-Clyde-Avenue-Mountain-View-CA-USA/Machine-Learning-Engineer--Platform---Samsung-Ads_R111348-2","locations":null,"employment_type":null,"workplace_type":null,"seniority_level":"mid","description_language":"en","source_name":"workday","source_url":"https://sec.wd3.myworkdayjobs.com/en-US/Samsung_Careers/job/645-Clyde-Avenue-Mountain-View-CA-USA/Machine-Learning-Engineer--Platform---Samsung-Ads_R111348-2","salary":{"min":240000,"max":280000,"currency":"USD","period":"year","display":"$240,000–$280,000"},"job_summary":null,"job_description":null,"description_text":"Position Summary Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Role and Responsibilities Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team. Responsibilities Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. Build a world-class ML platform tailored for Samsung’s ML based advertising business, which can significantly improve the lead time for model end-to-end development and deployment process. Research the latest machine learning platform technologies in the industry and create quick prototypes / proof-of-concepts. Closely work with different internal ML teams (e.g., ML serving and MLOps teams) to improve our codebase, product health, and ensure the best engineering quality Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives. Mentor junior engineers and provide technical guidance. Learn quickly and adapt to a fast-paced working environment. Experience Requirements: 6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree in Computer Science or related fields such as Statistics, Data Science, Technology, Engineering and Mathematics. Extensive industry experience with Infrastructure as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework such as Prometheus and Grafana. Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.). Hands-on experience with machine learning related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. Extensive programming experience in Python, Go or other OOP languages, SQL and database, and familiarity with data structures, algorithms and software engineering principles. Strong communication and interpersonal skills to drive cross-functional partnerships. Ability to work in a fast-paced environment, quickly debug issues, provide proof-of-concept solutions and apply the changes to production. Skills and Qualifications Preferred Experience Requirements: Extensive knowledge of Amazon Web Services (AWS) is a huge plus. Extensive experience with Snowflake, Snowpark, and Redis/Aerospike. Experience with the advertising industry and real-time bidding (RTB) ecosystem. Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA 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. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. #LI-SM * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. 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. * 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. 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 SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. Job Alerts: If you would like to be notified of new opportunities when they are posted, please click here. You will be asked to create an account first if you do not already have one. Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions. Samsung is also leading in the development of the Internet of Things through, among others, our Smart Home and Digital Health initiatives. Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth. To discover more, please visit our official newsroom at (https://news.samsung.com/global/).","visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":null,"job_state":null,"job_country":null,"location_lat":null,"location_lng":null,"closed_at":null,"apply_with_ai_eligible":false,"keywords":["business objectives","cross-functional","machine learning","data structures","CI/CD pipelines","infrastructure","communication","stakeholders","data science","intelligence","large-scale","advertising","engineering","end-to-end","prototypes","statistics","monitoring","production","algorithms","TensorFlow","Kubernetes","Snowflake","real-time","pipelines","inclusive","Terraform","discovery","ecosystem","database","codebase","Platform","business","internal","research","leading","revenue","account","PyTorch","privacy","develop","design","Mentor","vision","Growth","global","deploy","Python","GitHub","teams","Spark","CI/CD","debug","MLOps","Kafka","data","SQL","art","AWS","ML"],"company":{"name":"Samsung","slug":"samsung","logo_url":"https://img.logo.dev/samsung.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Samsung operates a Shared Services Centre in Bucharest that provides financial, customer service, and human resources support for its European subsidiaries.","website_url":"https://www.samsung.com/","linkedin_url":"https://www.linkedin.com/company/samsung-electronics","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-Samsung-Electronics-EI_IE3363.11,29.htm","x_url":"https://x.com/Samsung","instagram_url":"https://www.instagram.com/samsung/","youtube_url":"https://www.youtube.com/samsung","github_url":"https://github.com/SAMSUNG","huggingface_url":null,"tiktok_url":"https://www.tiktok.com/@samsung","crunchbase_url":null,"facebook_url":"https://www.facebook.com/SamsungUS/","employee_count_range":"10000+","employee_count":262647,"founded_year":1969,"headquarters":{"address":"129 Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, South Korea","city":"Suwon","country":"KR","lat":37.2633325,"lng":127.0287472},"industry":"hardware","company_type":"other","total_funding_usd":null,"locations":["24A, Kifissias Avenue","3245 146th Place SE, Bellevue","50","90-15 Queens Blvd., Space 1060","Airport Plaza, Diegem","Amman, Jordan","Austin, TX","Avia, Guatemala City","Azrieli Building G, Herzliya","BITEXCO Financial Tower, Ho Chi Minh","Bavaria Towers, Munich","Budapest Gateway","Building 13A, District 5","Butterfly Building, Tower A","California, USA Home","Centre d'affaires la Boursidière, Le Plessis-Robinson","Cerkezkoy, Tekirda","Communications House","Costa del Este, Panama City","Delegacion Miguel Hidalgo, Mexico city","Digital City, Suwon","Duesseldorf, Germany Home","Empire Tower, Bangkok","Eschborn, Germany Home","Evert van de Beekstraat 310, Amsterdam","Giesshuebelstrasse 30, Zurich","Grange","Green Tower, Sofia Bulgaria","Illinois, USA Home","Iraq Branch, Baghdad","Junction City Tower, Yangon","Kolao Tower, Vientiane","Kom Abu Radi Industrial Zone, Al Wasta","La Libertad, Antiguo Cuscatlan","Las Condes, Santiago","Letaliska cesta, Ljubljana","Los Angeles, CA","Lotissement la colline 2, Casablanca","Luis Alberto de Herrera, Montevideo","Mapletree Business City","Mapletree Business City, Singapore","Mercu 2","Mercu 2, Malaysia","Metroffice, Bucharest 2","Morumbi, SP Sao Paulo","NSW Sydney, Australia","New Jersey, USA Home","New York, NY","Ogranak Beograd, Belgrade","One Pennsylvania Plaza, 26th Floor","Parque Empresarial Omega, Madrid","Parque dos Resedas, Campinas","Phnom Penh Center, Phnom Penh","Phoenix Building, Bangalore","Ploiesti Street, Bucharest 1","Postepu, Warszawa","Praterstrasse 31, Vienna","Radnička cesta, Zagreb","Ratinger Str. 9, Düsseldorf","Rue du ac D'annecy, Tunis","SRI-D, Plot 2A","SRI-Delhi, Hyderabad","SSIR, Goldstone","Saint-Ouen, France","Samsung ESBO Floor 3 Eighty Strand London WC2R 0RE","Samsung House 2000 Hillswood Drive, Chertsey","Samsung Networks, Reading","Samsung Space, Eschborn","Samsung ter 1, Jaszfenyszaru","Science","South Carolina, USA Home","Stoperigata 2, Oslo","Stuttgart, Germany","Tammsaare tee 47, Tallinn","Tech Park, HI","The Park, Prague","Toronto, CA","Torshamnsgatan 48, Kista","Ukmerges gatve, Vilnius","VIC Melbourne, Australia","Vaisalantie 4, Espoo","Via Mike Bongiorno, Milano","Vientiane, Laos","Washington, DC","Wisma GKBI, Jakarta"]},"structured_data":{"@context":"https://schema.org","@type":"JobPosting","@id":"https://worklittle.com/jobs/81u5i6i907#job","title":"Machine Learning Engineer, Platform – Samsung Ads","description":"Machine Learning Engineer, Platform – Samsung Ads at Samsung. 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