Jobs

Engineer II, Machine Learning Software
645 Clyde Avenue, Mountain View, CA, USA
·
On-site
·
Full-time
·
1w ago
Compensation
$187,741 - $204,000
Required Skills
Machine Learning
Data Mining
Python
Go
Object-oriented programming
Production-grade ML solutions
Digital advertising
Position Summary
Role and Responsibilities
MULTIPLE POSITIONS AVAILABLE:
Company: Samsung Electronics America, Inc.
Position Title: Engineer II, Machine Learning Software
Location: Mountain View, CA
Job ID: SAM9599674
Position Responsibilities:
Design and deliver production-grade machine learning products from end-to-end. 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 machine learning solutions, and deploy the solutions into production. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Collaborate with different internal machine learning teams to improve codebase and product health. Work closely with cross-functional partner teams in global settings to deliver new machine learning 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, Engineering, or a related field and two years of experience in the job offered or another related occupation. Must have two years of experience in the following skills: (1) working on machine learning and data mining related projects; (2) programming experience in Python, Go, or related object-oriented programming language; and (3) working on production-grade machine learning solutions in the digital advertising industry. Partial telecommuting permitted; employees will be required to report to office multiple days per week.
Hours: Full Time, 40 hours/week. Salary Range: $187,741 /year to $204,000 /year.
Skills and Qualifications
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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 SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
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About Samsung
Reviews
3.7
15 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.5
Career
2.0
Management
1.8
15%
Recommend to a Friend
Pros
Hardware/technology leadership
Competitive salary offers for some roles
Sign-on bonuses available
Cons
Toxic culture and politics
Poor work-life balance with strict RTO policies
Micromanagement and employee tracking
Salary Ranges
22 data points
Senior/L5
Senior/L5 · Digital Transformation Manager
1 reports
$180,827
total / year
Base
$157,414
Stock
-
Bonus
-
$180,827
$180,827
Interview Experience
6 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
67%
Experience
Positive 33%
Neutral 33%
Negative 34%
Interview Process
1
Application Review
2
Phone Screen
3
Technical/Video Interview
4
Team Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Role-Specific Skills
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