Jobs
Benefits & Perks
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Professional development budget
•Healthcare
•Learning
Required Skills
Python
JavaScript
PostgreSQL
About The Team
The Volcano Engine Vector Database Knowledge Base team supports both internal and ToB customer requirements. We are responsible for the content processing of the Volcano Engine large model Knowledge Base and the design and development of the retrieval system architecture, including framework construction, new feature delivery, and system stability assurance.
Responsibilities
- Participate in the backend development and delivery of the framework and middleware of the large model RAG architecture, and implement the feature delivery and demand support of the Public Cloud products
- Based on the application scenarios of large models, provide a general-purpose domain Knowledge Base solution, encapsulate common patterns and processes, and provide stable external service capabilities
- Participate in the maintenance and expansion of the backend architecture of the self-developed vector database, and provide the processing and storage capabilities of Multi Modal Machine Learning unstructured data on the vector database product
- Participate in the iterative development of capabilities such as backend debugging, monitoring, billing, and elastic scheduling for the Public Cloud products of the vector database and Knowledge Base
Qualifications
Minimum Qualifications
- Bachelor's Degree in Computer Science or related fields, with at least 3 years of relevant experience
- Solid programming skills, familiar with one of the common backend languages such as Golang/Python/Java, with good code design style and coding ability, and good ability to solve practical problems
- Have some experience in the fields of public cloud and database, understand the common resource and permission management and control design, and have interest and enthusiasm for the implementation of large model applications
Preferred Qualifications
- Understand the system design of high concurrency and high throughput
- Experience in contributing to open source communities
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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
Junior/L3
Junior/L3 · Anti-Fraud Data Analyst
3 reports
$143,750
total / year
Base
$125,000
Stock
-
Bonus
-
$126,500
$163,300
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
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