Machine Learning Model Engineer-3

Join Samsung Ads: Accelerate Your Career as a Machine Learning Model Engineer

About Samsung Ads

Samsung Ads is a pioneering advertising technology company committed to revolutionizing the way advertisers connect with audiences across Samsung devices. Leveraging the industry's most comprehensive data, we build the world’s smartest advertising platform. As part of Samsung, you'll work on ambitious, international projects with collaborations across the globe, fostering an environment ripe for growth and innovation.

Why Samsung Ads?

At Samsung Ads, we boast an entrepreneurial and collaborative culture that fosters rapid personal and professional growth. Our team is passionate about problem-solving, breaking new ground, and enjoying every step of the journey. Whether you’re driven by learning or achievement, Samsung Ads offers one of the best environments to excel in the advertising industry.

Machine Learning at Samsung Ads

Machine learning is integral to the advertising industry and at Samsung Ads, we actively incorporate the latest techniques to improve our systems and products. As a Machine Learning Model Engineer on the Platform Intelligence (PI) team, you'll work with exclusive Samsung proprietary data, develop large-scale machine learning products, and contribute to real-world impacts. Supported by a talented engineering team and top researchers, you'll engage in exciting machine learning projects and innovative technologies in a vibrant learning culture.

Job Location

Mountain View, CA

Key Responsibilities

• Lead and deliver production-grade machine learning products for the mobile performance ads market.
• Design, develop, and deploy scalable machine learning models to achieve various optimization goals.
• Research the latest machine learning technologies and stay updated with industry trends.
• Analyze complex advertising data, identify gaps and propose technical solutions.
• Quickly prototype new ML-based solutions and take them to production.
• Collaborate with internal ML teams to enhance our codebase and product health.
• Work with global cross-functional teams to deliver new ML features and solutions.
• Mentor junior engineers and provide technical guidance.
• Adapt quickly to a fast-paced working environment.

Skills and Qualifications

Experience Requirements

• Master’s or PhD degree in Computer Science or related fields.
• 4+ years of industry experience with a Master’s degree or 2+ years with a PhD.
• Solid theoretical background in machine learning and/or data mining.
• Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML).
• Hands-on experience with production-grade machine learning solutions.
• Experience with big data tools (e.g., MapReduce, Spark, Flink, Kafka).
• 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 for cross-functional partnerships.

Preferred Experience Requirements

• Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, etc.).
• Basic knowledge about Amazon Web Services (AWS).
• Experience with the advertising industry and real-time bidding (RTB) ecosystem.

Compensation

The salary range for this role, for candidates based in California, is expected to be between $180,000 and $190,000. Actual pay will be determined considering factors such as relevant skills and experience, as well as comparison to other employees in the role.

Inclusion and Diversity

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.

Equal Employment Opportunity

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce and providing 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,