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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

복지 및 혜택

Healthcare

Learning

필수 스킬

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

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

TikTok 소개

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.7

문화

4.1

커리어

3.2

경영진

2.9

68%

친구에게 추천

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

연봉 정보

49개 데이터

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3개 리포트

$143,750

총 연봉

기본급

$125,000

주식

-

보너스

-

$126,500

$163,300

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit