Weaviate

Weaviate
Open-source vector database
Vector Search
Machine Learning
AI/ML Infrastructure
Database Technology
Semantic Search
Weaviateの求人
求人5件
Applied Research Intern
機械学習
Europe
ハイブリッド
インターン
インター ン
有給休暇
フレックスタイム
Learning Budget
在宅勤務支援
2日前
Product Manager, Database
プロダクト
Europe
オンサイト
シニア級
正社員
4週間前
Product Engineer - Growth (Remote/GMT/CET)
フルスタック
GMT/CET time
オンサイト
ミドル級
正社員
2ヶ月前
Developer Advocate Intern
マーケティング
Europe
オンサイト
インターン
インターン
2ヶ月前
Developer Marketing Manager
マーケティング
Europe
オンサイト
リード級
正社員
2ヶ月前
募集終了した求人
7件のポジション
Enterprise Account Executive (US - East)
United States
ミドル級
終了 2日前
Enterprise Account Executive (US - West)
United States
ミドル級
終了 2日前
Product Engineer (Growth) UK/Portugal
UK or Portugal
ミドル級
終了 2ヶ月前
Product Marketing Manager, Product-Led Growth (USA or Canada)
United States
リード級
終了 2ヶ月前
Customer Solution Engineer
United States
ミドル級
終了 2ヶ月前
製品・サービス
WE
Weaviate Vector Database
Database
WE
Weaviate Cloud Services (WCS)
Cloud Platform
WE
Weaviate Database
Database
HY
Hybrid Search
Search Technology
GE
Generative Search
AI/ML Feature

Weaviate Cloud Services
Cloud Infrastructure
MU
Multi-modal Search
AI/ML Feature
SE
Semantic Search
AI/ML Feature
WE
Weaviate Modules
Integration
WE
Weaviate Cloud Service
Cloud Service
GR
GraphQL API
API
VE
Vector Embeddings Integration
Integration
EN
Enterprise Support
Support
WE
Weaviate Console
Management Tool
VE
Vectorization Modules
AI Integration
RE
RESTful API
API
RE
RESTful and GraphQL APIs
Developer Tools
PY
Python Client
SDK/Client
経営陣
BvL
Bob van Luijt
CEO, co-founder
ED
Etienne Dilocker
CTO, co-founder
MV
Micha Verhagen
Founder
TF
Tony Florence
Board Member
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122件の求人
最新情報
All
X
News
HN
YouTube
Hiring RAG Developers - What to Actually Look for
If you've been searching for RAG developers lately, you've probably noticed the market is flooded with people claiming expertise but delivering very little. Here's a practical, no-fluff breakdown of what to look for. **What Is RAG and Why Does It Need a Specialist?** Retrieval-Augmented Generation connects LLMs to your own data, documents, databases, knowledge bases, so the AI answers from your information, not just its training data. Sounds simple. It isn't. A production RAG system involves
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1ヶ月前
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1
What am I doing wrong? No internship calls despite being active
Context: I am in 2nd year of my college and I am applying for internships since dec 2025. There were some recalls but interviews just rejected with no reason. Some gave reasons of not giving enough time (I was ready for 40 hours a week) and some assume that juniors won't be able to work despite there are proofs of my work attached in my cv.
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1ヶ月前
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1
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2
Vector Databases for RAG Pipelines: Pinecone vs. Weaviate vs. Qdrant vs. pgvector Compared - Cloudmagazin
Cloudmagazin
News
·
2ヶ月前
Weaviate Launches Flexible Embedding Service for AI Development - HPCwire
HPCwire
News
·
2ヶ月前
Why Weaviate Is the Best Vector Database for Metadata Filtering in 2026 - MEXC
MEXC
News
·
2ヶ月前
もっと見る (残り15件)
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
レビュー
3.5
10件のレビュー
ワークライフバランス
3.8
報酬
2.7
企業文化
4.2
キャリア
3.1
経営陣
4.0
65%
知人への推奨率
良い点
Supportive and collaborative team culture
Flexible work arrangements and good work-life balance
Approachable and supportive management
改善点
Below-market compensation and salary
Heavy workload and overwhelming work demands
Limited career advancement opportunities
給与レンジ
9件のデータ
Mid/L4
Mid/L4
1件のレポート
$113,636
年収総額
基本給
$82,657
ストック
-
$65,909
$207,954
面接レビュー
レビュー38件
難易度
3.3
/ 5
期間
2-5w
内定率
33%
体験
ポジティブ 67%
普通 23%
ネガティブ 10%
面接プロセス
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
連絡先・所在地