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Engineer II, Machine Learning Software
645 Clyde Avenue, Mountain View, CA, USA
·
On-site
·
Full-time
·
1mo ago
報酬
$187,741 - $204,000
必須スキル
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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Samsungについて

Samsung
PublicA technology company that engages in consumer electronics, IT and mobile communications, and device solutions.
10,001+
従業員数
Seoul
本社所在地
$267B
企業価値
レビュー
3.7
15件のレビュー
ワークライフバランス
2.0
報酬
2.5
企業文化
1.5
キャリア
2.0
経営陣
1.8
15%
友人に勧める
良い点
Hardware/technology leadership
Competitive salary offers for some roles
Sign-on bonuses available
改善点
Toxic culture and politics
Poor work-life balance with strict RTO policies
Micromanagement and employee tracking
給与レンジ
46件のデータ
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Data Scientist L3
0件のレポート
-
年収総額
基本給
-
ストック
-
ボーナス
-
面接体験
6件の面接
難易度
2.2
/ 5
期間
14-28週間
内定率
67%
体験
ポジティブ 33%
普通 33%
ネガティブ 34%
面接プロセス
1
Application Review
2
Phone Screen
3
Technical/Video Interview
4
Team Interview
5
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Role-Specific Skills
ニュース&話題
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