Engineer II, Machine Learning Software at Samsung Electronics in Mountain View, CA

  • Company: Samsung Electronics
  • Location: 645 Clyde Avenue, Mountain View, CA, USA
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-14

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Job description

Position Summary Company: SAMSUNG ELECTRONICS AMERICA, INC. Position Title: Engineer II, Machine Learning Software Location: Mountain View, CA Job ID: SAM9966844 Role and Responsibilities Position Responsibilities: Lead and deliver production-grade Machine Learning (ML) products from end to end to ensure that Samsung Ads remains a key player in the mobile ads market. Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, and retention. Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health. Utilize extensive experience with machine learning and data mining (including work with mainstream ML libraries such as TensorFlow, PyTorch, and Spark ML, among others), Big Data tools, and programming in Python, Go or other OOP languages. 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. Skills and Qualifications Position Requirements : Master’s degree or foreign equivalent degree in Computer Science or a related field and four years of experience in the job offered or as a Software Engineer, Machine Learning Engineer, Engineering Associate, or another related occupation. Must have four years of experience in the following skill: (1) programming in Python. Must have two years of experience in the following skills: (2) performing large-scale data analysis and generating insights for engineering and product teams; and (3) using Apache Spark to author machine learning feature pipelines. Must have one year of experience in the following skill: (4) managing cross-functional data projects including project design, requirements, and implementation. Hours: Full Time, 40 hours/week . Salary Range: $255,653/ year to $265,653/ year * 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.

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