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Senior Machine Learning Engineer, Recommendation - TikTok eCommerce
Seattle, WA
·
On-site
·
Full-time
·
2mo ago
報酬
$177,688 - $341,734
福利厚生
•Unlimited Pto
•Healthcare
•Parental Leave
必須スキル
TensorFlow
Python
SQL
Responsibilities
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on Tik Tok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.
- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc. in Tik Tok
- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently
- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (eg. Click Through Rate and Conversion Rate prediction), including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation
- Design and build supporting/debugging tools as needed
Qualifications
Minimum Qualifications:
- Bachelor or above degree in Computer Science or related fields with strong programming and problem-solving ability
- At least 3 years working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields
Preferred Qualifications:
- Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
- Experience in Deep Learning Tools such as tensorflow/pytorch
- Experience with at least one programming language like C++/Python or equivalent
Compensation
The base salary range for this position in the selected city is $177,688 - $341,734 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
Los Angeles County (Unincorporated) Candidates
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
- Exercising sound judgment
総閲覧数
2
応募クリック数
0
模擬応募者数
0
スクラップ
0
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TikTokについて

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
従業員数
Los Angeles
本社所在地
$220B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
4.1
キャリア
3.2
経営陣
2.9
68%
友人に勧める
良い点
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
改善点
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
給与レンジ
49件のデータ
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1件のレポート
$273,000
年収総額
基本給
$210,000
ストック
-
ボーナス
-
$273,000
$273,000
面接体験
2件の面接
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
よくある質問
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
ニュース&話題
Hollywood wants to be TikTok. TikTok wants to be TV - Axios
Axios
News
·
3d ago
Hundreds of Fake Pro-Trump Avatars Emerge on Social Media - The New York Times
The New York Times
News
·
3d ago
Firefighters warn parents about dangerous TikTok trends sending kids to hospitals - WFSB
WFSB
News
·
4d ago
QVC prepares for bankruptcy protection in the era of influencers, TikTok and Temu - Chicago Tribune
Chicago Tribune
News
·
4d ago