Engineer, Machine Learning Software

Position Summary

Deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market.

Role and Responsibilities

Job Description:

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 different 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.

Minimum Education & Experience Requirements:

Master’s degree in Computer Science, Computer Engineering, a related field, or a foreign equivalent plus 1 year of post-baccalaureate experience in job offered or any engineering related job titles.

Applicants must have 1 year of experience in the following: (1) Production-grade machine learning solutions; (2) ML libraries including TensorFlow, PyTorch, Spark ML; (3) Object oriented programming with Python and GO; (4) Data structures and algorithms; (5) software testing including unit, integration, smoke, and canary testing; (6) debugging including reviewing error messages; (7) system design patterns; (8) Snowflake SQL, large-scale computing (Spark, PySpark), and AWS for Machine Learning model training; and (9) Deep learning.

Compensation for this role between $193,800 – $203,800/Year

No sponsorship available for this position.

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Skills and Qualifications

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