Engineer II, Machine Learning Software

Samsung Electronics America; Mountain View (CA); Presencial; USD 256.000 - 266.000; Jornada completa

Descripción de la vacante

SAMSUNG ELECTRONICS AMERICA, INC. in Mountain View seeks an Engineer II, Machine Learning Software to lead end-to-end ML products, design scalable models, and deploy them to production.

You will collaborate with ML platform, serving, and MLOps teams, mentor junior engineers, and drive impact in mobile ads optimization such as CTR and ROAS. The role requires a Master’s in CS and 4+ years of experience with Python, Spark, and large-scale data analysis, with strong cross-functional project

Formación

• Master’s degree or foreign equivalent in Computer Science or a related field.
• Four years of experience in Machine Learning or Software Engineering roles.
• Experience programming in Python.
• Two years of large-scale data analysis with engineering or product teams.
• One year of cross-functional data project management.

Responsabilidades

• Lead end-to-end ML products from design to deployment.
• Develop scalable ML models to optimize ads performance and retention.
• Collaborate with ML platforms, ML serving, and MLOps teams to improve codebase and product health.
• Mentor junior engineers and provide technical guidance.

Conocimientos

Python

Data analysis

Cross-functional collaboration

Go or OOP

Educación

Master's degree in Computer Science or related field

Herramientas

Apache Spark

TensorFlow

PyTorch

Descripción del empleo

## Engineer II, Machine Learning SoftwareApply: On-site: 645 Clyde Avenue, Mountain View, CA, USA: Posted Today: End Date: November 19, 2026 (30+ days left to apply): R120631**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