Engineer II, Machine Learning Software
- Pay
- $255,653 per year
- Location
- 645 Clyde Avenue, Mountain View, CA, USA
- Listed
- 3 days ago
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.
Pay and benefits
Hours: Full Time, 40 hours/week. Salary Range: $255,653/ year to $265,653/ year
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Company
SAMSUNG ELECTRONICS AMERICA, INC.
- Position Title: Engineer II, Machine Learning Software
- Location: Mountain View, CA
- Job ID: SAM9966844
Equal opportunity and legal notices
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.
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) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
From Sec's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Engineer II, Machine Learning Software role at Sec?
The Engineer II, Machine Learning Software posting at Sec states compensation of $255,653 per year. Final pay may depend on location, experience, and interview evaluation on Sec's official career site.
Where is the Engineer II, Machine Learning Software job at Sec located?
This Engineer II, Machine Learning Software position at Sec is located in 645 Clyde Avenue, Mountain View, CA, USA. Always check Sec's application page for specific state eligibility or relocation policies.
How do I apply for the Engineer II, Machine Learning Software position at Sec?
This listing links directly to Sec's Workday application page. You can apply directly on Sec's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.