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RAG Content Retrieval Backend Engineer - ByteRec

TikTok

RAG Content Retrieval Backend Engineer - ByteRec

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利待遇

Healthcare

Learning

必备技能

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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关于TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

员工数

Los Angeles

总部位置

$220B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

4.1

职业发展

3.2

管理层

2.9

68%

推荐给朋友

优点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

缺点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

薪资范围

49个数据点

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3份报告

$143,750

年薪总额

基本工资

$125,000

股票

-

奖金

-

$126,500

$163,300

面试经验

2次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

常见问题

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit