Engineer II, Machine Learning Software

Samsung Electronics America; Mountain View (CA); On-site; USD 256,000 - 266,000; Full time

Job summary

SAMSUNG ELECTRONICS AMERICA, INC. seeks an Engineer II, Machine Learning Software in Mountain View, CA.

You will lead production-grade ML products end to end, designing and deploying scalable models for optimization goals and collaborating with ML teams across the globe. The role requires a Master’s degree in CS and multiple years of Python, Spark, TensorFlow and PyTorch experience, plus data analytics and cross-functional project leadership.

Qualifications

• Master’s degree in Computer Science or related field with four years of relevant experience.
• Four years of Python programming experience.
• Two years of experience with large-scale data analysis and using Apache Spark for ML feature pipelines.
• One year of experience managing cross-functional data projects including project design, requirements, and implementation.

Responsibilities

• Lead and deliver production-grade ML products end to end.
• Design, develop and deploy scalable ML models for optimization goals (e.g., ads click-through, ROAS).
• Research the latest ML technologies, prototype new solutions, and deploy to production.
• Analyze complex problems with massive advertising data and propose technical proposals.
• Collaborate with ML platform, ML serving, and MLOps teams to improve codebase and product health.

Skills

Python

Machine Learning

Spark

TensorFlow

PyTorch

Go

Big Data

Data Analysis

Cross-functional collaboration

Mentoring

Education

Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

Apache Spark

Job description

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.

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

Company Culture 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.

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

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or [e-mail] for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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About Samsung Electronics

Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions. Samsung is also leading in the development of the Internet of Things through, among others, our Smart Home and Digital Health initiatives. Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth. To discover more, please visit our official newsroom at (https://news.samsung.com/global/).