Research Staff

About the role

We are seeking a researcher to lead and contribute to applied research projects in Information Retrieval. Your work will directly influence both our product, Omni, and the broader field of information retrieval.

Responsibilities

• Lead and contribute to applied research projects in Information Retrieval
• Advance Omni, our core search platform, improving retrieval performance and efficiency
• Design and evaluate novel methods for late interaction and multimodal retrieval
• Investigate LLM-augmented search pipelines, identifying strengths and limitations
• Collaborate across engineering and product teams to align research with impact
• Publish and share results through papers, blog posts, and conferences
• Shape the company's research agenda and influence the roadmap of retrieval research

Requirements

• Experience in information retrieval, embeddings, or related fields
• Advanced degree (PhD/Master's) or equivalent experience with impactful research projects
• Proficiency in Python and ability to implement models from scratch
• Passion for advancing search beyond single-vector similarity methods
• Broad understanding of the ML lifecycle: algorithms, training, data, efficiency
• Strong written and verbal communication skills

Qualifications

• Nice to have: Publications in top-tier conferences (NeurIPS, ICML, SIGIR, ACL, etc.), Open-source contributions in IR, NLP, or ML frameworks, Familiarity with late interaction models, transformers, or vector search systems, Experience designing and running large-scale training experiments

Skills

• Experience in information retrieval, embeddings, or related fields
• Advanced degree (PhD/Master's) or equivalent experience with impactful research projects
• Proficiency in Python and ability to implement models from scratch
• Passion for advancing search beyond single-vector similarity methods
• Broad understanding of the ML lifecycle: algorithms, training, data, efficiency
• Strong written and verbal communication skills

Benefits

• 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

Pay

Details TBD

Schedule

Details TBD

Company

Mixedbread is an equal opportunity employer committed to building a diverse and inclusive team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.