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Senior Machine Learning Engineer, Recommendation - TikTok eCommerce
Seattle, WA
·
On-site
·
Full-time
·
1mo ago
Compensation
$177,688 - $341,734
Benefits & Perks
•Annual team offsites
•Flexible PTO policy
•Health, dental, and vision coverage
•Parental leave program
Required Skills
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
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About TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
Employees
Los Angeles
Headquarters
$220B
Valuation
Reviews
3.1
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.0
5%
Recommend to a Friend
Pros
Limited positive feedback available
Company size allows for potential opportunities
Technology platform experience
Cons
Mass layoffs and poor handling of terminations
Unprofessional management and HR behavior
Exposure to traumatic content without adequate support
Salary Ranges
52 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1 reports
$273,000
total / year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Data Structures
News & Buzz
25-Year-Old TikTok Star Khaby Lame Sells His Media Company for Nearly $1B - observer.com
Source: observer.com
News
·
5w ago
TikTok users say they're being censored after new owners were announced. The company says it's a tech issue. - Reason Magazine
Source: Reason Magazine
News
·
5w ago
TikTok users can't upload anti-ICE videos. The company blames tech issues
HN
·
5w ago
·
1,490
·
1000
TikTok is investigating why some users can't write 'Epstein' in messages - NPR
Source: NPR
News
·
5w ago