Weaviate

Weaviate
Open-source vector database
Vector Search
Machine Learning
AI/ML Infrastructure
Database Technology
Semantic Search
Open roles at Weaviate
3 open roles
Applied Research Intern
Machine Learning
Europe
Hybrid
Intern
Internship
Paid Time Off
Flexible Hours
Learning Budget
Home Office Setup
1 month ago
Developer Advocate Intern
Marketing
Europe
On-site
Intern
Internship
Paid Time Off
3 months ago
Developer Marketing Manager
Marketing
Europe
On-site
Lead
Full-time
Paid Time Off
3 months ago
Closed positions
12 positions
Product Manager, Database
Europe
Senior
Closed 1 week ago
Developer Advocate Intern
Europe
Intern
Closed 1 week ago
Applied Research Intern
Europe
Intern
Closed 1 week ago
Developer Marketing Manager
Europe
Lead
Closed 1 week ago
Product Engineer - Growth (Remote/GMT/CET)
GMT/CET time
Mid Level
Closed 1 month ago
Products and services
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
Leadership
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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Latest updates
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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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3 months ago
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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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3 months ago
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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
·
3 months ago
Weaviate Launches Flexible Embedding Service for AI Development - HPCwire
HPCwire
News
·
3 months ago
Why Weaviate Is the Best Vector Database for Metadata Filtering in 2026 - MEXC
MEXC
News
·
4 months ago
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Reviews
4.3
30 reviews
Work-life balance
4.1
Compensation
4.2
Culture
4.4
Career
4.2
Management
4.2
85%
Recommend to a friend
Pros
Supportive and collaborative team culture
Flexible work arrangements and good work-life balance
Approachable and supportive management
Cons
Below-market compensation and salary
Heavy workload and overwhelming work demands
Limited career advancement opportunities
Salary Ranges
9 data points
Mid/L4
Mid/L4
1 reports
$113,636
total per year
Base
$82,657
Stock
-
$65,909
$207,954
Interview experience
38 interviews
Difficulty
3.3
/ 5
Duration
2-5w
Offer rate
33%
Experience
Positive 67%
Neutral 23%
Negative 10%
Interview process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Contact and location