Engineer II, Machine Learning Software

Samsung • Mountain View, CA

4d • Onsite

About The Position

Samsung Electronics America, Inc. is seeking an Engineer II, Machine Learning Software to lead and deliver production-grade Machine Learning (ML) products from end to end, ensuring Samsung Ads remains a key player in the mobile ads market. This role involves designing, developing, and deploying state-of-the-art, scalable machine learning models for various optimization goals, including ads click (pCTR), app-install optimization, ROAS optimization, and retention. The position requires researching the latest ML technologies and industry trends, prototyping new ML solutions, and deploying them into production. The engineer will analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Collaboration with internal ML teams (ML platform, ML serving, MLOps) is crucial for improving codebase and product health. The role also involves working with cross-functional partner teams globally to deliver new ML features and solutions and achieve business objectives, as well as mentoring junior engineers.

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.
• Four years of experience in programming in Python.
• Two years of experience in performing large-scale data analysis and generating insights for engineering and product teams.
• Two years of experience using Apache Spark to author machine learning feature pipelines.
• One year of experience managing cross-functional data projects including project design, requirements, and implementation.

Nice To Haves

• Experience with mainstream ML libraries such as TensorFlow, PyTorch, and Spark ML.
• Experience with Big Data tools.
• Experience with programming in Go or other OOP languages.

Responsibilities

• Lead and deliver production-grade Machine Learning (ML) products from end to end.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level