[Samsung Electronics America] Engineer II, Machine Learning Software 채용

Bzpp; United States; Presencial; USD 256.000 - 266.000; Jornada completa

Descripción de la vacante

SAMSUNG ELECTRONICS AMERICA, INC. in Mountain View, CA is seeking an Engineer II, Machine Learning Software to lead production-grade ML products for Samsung Ads.

You will design, develop and deploy scalable ML models to optimize ad performance, such as pCTR and ROAS, and you will collaborate with ML platform, serving and MLOps teams while mentoring junior engineers.

The role requires a Master’s degree in CS and at least four years of experience with Python, Spark, TensorFlow and PyTorch.

Formación

• Master’s degree in Computer Science or a related field.
• Four years of experience in ML or software engineering.
• Four years programming in Python.
• Two years data analysis to generate insights for engineering/product teams.
• Two years using Apache Spark to author ML feature pipelines.
• One year managing cross-functional data projects including project design, requirements, and implementation.

Responsabilidades

• Lead end-to-end production-grade ML products for mobile ads.
• Design, develop and deploy scalable ML models for optimization goals (pCTR, ROAS, retention).
• Prototype new ML solutions and deploy them to production.
• Analyze massive advertising data to identify gaps and propose technical proposals.
• Collaborate with ML platform, ML serving, and MLOps teams to improve codebase and product health.
• Mentor junior engineers and provide technical guidance.

Conocimientos

Python programming

Large-scale data analysis

Educación

Master’s degree in Computer Science or related field

Herramientas

TensorFlow

PyTorch

Apache Spark

Spark ML

Descripción del empleo

Position SummaryCompany:           SAMSUNG ELECTRONICS AMERICA, INC.Position Title:   Engineer II, Machine Learning SoftwareLocation:             Mountain View, CAJob ID:                  SAM9966844Role and ResponsibilitiesPosition 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 QualificationsPosition 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#LI-DNI

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

#LI-DNI