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Samsung Ads - Machine Learning Model Engineer, Mobile

Location:
Mountain View, CA
Description:

* 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 a resident of the European Union or the European Economic Area, -please click here . -If you are a resident of the -U.S., please click here . If you are a resident of the Philippines, please click here . If you are a resident of Korea click here . * Please visit Samsung_Jobs to see job posting in Samsung Manufacturing subsidiaries. * 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. - This site uses cookies to offer you a better browsing experience. - --- -Mandatory Cookies (Strictly necessary for the career site to function and expire at the end of the -session) - Session management cookies -: user, device and session ID cookies along with timestamp cookies for timing out sessions after inactivity. - - -Application Security Management (ASM) cookies : to help protect web infrastructure from security attacks. - -Routing cookies -: to forward requests for a single session to the same server for consistency of service. - --- -Configurable Cookies (Optionally selected by user for the career site to function) - -LinkedIn cookies : to apply for open positions using users' LinkedIn Profile.(Expiring at the end of the session) - If you agree to allow configurable cookies -to be placed, please click the 'Accept Cookies'. - Samsung Ads - Machine Learning Model Engineer, Mobile page is loaded Samsung Ads - Machine Learning Model Engineer, Mobile Apply remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA time type Full time posted on Posted 3 Days Ago job requisition id R91364 Position Summary Role and Responsibilities Position SummarySamsung Ads is an advanced advertising technology company that is rapidly growing and focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media. It uses 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 worldwide means that we get to work on big, complex 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, and 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 fast-growing team.This position will work on the mobile performance ads product, one of the most interesting but challenging machine learning products.Location: Mountain View, CAResponsibilities A tech lead role to lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market. Design, develop, and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals (e.g., app-install optimization, ROAS optimization, retention, etc.). Research the latest machine learning technologies and keep up-to-date with industry trends and developments. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Create prototypes of new ML-based solutions quickly and put them into production. Closely work with internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health. 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. Skills and Qualifications Experience Requirements Master's or PhD degree in Computer Science or related fields (e.g., Mathematics). 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. Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.). Hands-on experience with production-grade machine learning solutions.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, SIGIR, AAAI, IJCAI, etc.). Basic knowledge about Amazon Web Services (AWS). Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.#LI-JT1 * 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 ProcessSamsung 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-XXXX) or XXXX@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. Similar Jobs (3) Machine Learning Engineer - Data Science remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA time type Full time posted on Posted 11 Days Ago Samsung Ads - Machine Learning Serving Engineer remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA time type Full time posted on Posted 10 Days Ago Machine Learning Model Engineer remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA time type Full time posted on Posted 30+ Days Ago About UsJob 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/ ). #J-18808-Ljbffr
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May 14 on TopUSAJobs
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