Samsung Ads
Machine Learning Model Engineer - Recommendation Systems
Samsung Ads, Mountain View, California, us, 94039
This range is provided by Samsung Ads. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$240,000.00/yr - $280,000.00/yr Additional compensation types
Annual Bonus and Sign-on bonus Direct message the job poster from Samsung Ads Position Summary Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industrys most comprehensive data to build the worlds smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on the most challenging projects with stakeholders and teams 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. Machine learning lies at the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model 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. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a growing team. 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: Masters or PhD degree in Computer Science or related fields 5+ years of industry experience with a Masters 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. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering, Information Technology, and Advertising Industries
Computers and Electronics Manufacturing, Advertising Services, and Technology, Information and Media Referrals increase your chances of interviewing at Samsung Ads by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Student loan assistance Tuition assistance Get notified about new Machine Learning Engineer jobs in
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$240,000.00/yr - $280,000.00/yr Additional compensation types
Annual Bonus and Sign-on bonus Direct message the job poster from Samsung Ads Position Summary Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industrys most comprehensive data to build the worlds smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on the most challenging projects with stakeholders and teams 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. Machine learning lies at the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model 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. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a growing team. 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: Masters or PhD degree in Computer Science or related fields 5+ years of industry experience with a Masters 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. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering, Information Technology, and Advertising Industries
Computers and Electronics Manufacturing, Advertising Services, and Technology, Information and Media Referrals increase your chances of interviewing at Samsung Ads by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Student loan assistance Tuition assistance Get notified about new Machine Learning Engineer jobs in
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Sunnyvale, CA $167,000.00-$185,500.00 2 days ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning
San Jose, CA $120,000.00-$165,000.00 9 months ago Palo Alto, CA $150,000.00-$220,000.00 1 month ago San Jose, CA $120,700.00-$228,600.00 10 hours ago New Grads 2025 - Software Engineer, Algorithm
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San Jose, CA $120,000.00-$165,000.00 5 months ago San Jose, CA $130,000.00-$182,000.00 10 months ago San Jose, CA $137,500.00-$236,500.00 3 months ago San Jose, CA $142,700.00-$257,600.00 1 week ago Palo Alto, CA $120,000.00-$140,000.00 1 month ago Machine Learning Engineer, Monetization Engineering
San Jose, CA $120,700.00-$228,600.00 10 hours ago Machine Learning Research Scientist, Active Learning
Mountain View, CA $167,200.00-$250,800.00 2 weeks ago San Mateo, CA $140,000.00-$210,000.00 1 month ago Mountain View, CA $138,225.00-$207,575.00 1 week ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr