Research Staff - Synthetic Data
Mixedbread · Remote
Infrastructureremote
At a glance
Highlights
- Design synthetic data pipelines across modalities for next-gen retrieval systems.
- Advance Omni search platform improving retrieval performance and efficiency.
- Build feedback loops to constantly improve data generation and curation.
What they offer
- Competitive compensation + equity
- Comprehensive health, dental, and vision coverage
- Visa sponsorship + relocation support
- Professional development budget
- Access to the best AI tools and subscriptions
- Team off-sites + conference attendance
- Transportation support
- Wellness support, including gym membership and sports club subscriptions
- Food support
Ideal candidate
Curious retrieval researcher passionate about synthetic data and curation who loves rethinking search beyond single-vector methods and turning research into real-world retrieval systems.
Requirements
- Experience in information retrieval, embeddings, or related fields
- Deep interest in synthetic data pipelines and data curation work
- Proficiency in Python and ability to implement models from scratch
- Passion for advancing search beyond single-vector similarity methods
- Strong written and verbal communication skills
- visa sponsorship
- Visa sponsorship and relocation support available
Lab profile
About Mixedbread
Building next-generation multimodal, transformer-native information retrieval systems for AI applications.
What they build
- AI search API
- Embedding and retrieval models
- Developer dashboards and interactive playgrounds
Known for
- Multimodal information retrieval
- Multilingual search across 100+ languages
- LLM-augmented and agentic search
- High-performance search infrastructure
Posted · Last seen