AfterQuery→
AI/ML Research Intern
InternshipOn-siteFull-time
Location
San Francisco, CA
Salary
Not listed
Experience
Not specified
Posted
1 month ago
Skills
ai research experienceml research experiencelarge language modelsreinforcement learningnlp knowledgedata visualization toolsprevious research experience
Job Description
Summary: AfterQuery is a research lab investigating the boundaries and capabilities of artificial intelligence. They are seeking exceptional undergraduate and masters students for their AI/ML Research Internship program, where interns will work directly with the research team on cutting-edge AI projects and have opportunities to co-author research papers and present at leading AI conferences.
Responsibilities:
- Support research scientists in designing and running experiments
- Collect, process, and analyze proprietary datasets
- Help develop and test new algorithms for advanced reasoning and agents
- Contribute to research documentation and findings
- Participate in research discussions and present findings
- Collaborate on interdisciplinary projects with interns and researchers
Required Qualifications:
- Students enrolled in undergraduate or masters programs in relevant fields
- Ability to work between 10 and 40 hours per week depending on company needs
- Support research scientists in designing and running experiments
- Collect, process, and analyze proprietary datasets
- Help develop and test new algorithms for advanced reasoning and agents
- Contribute to research documentation and findings
- Participate in research discussions and present findings
- Collaborate on interdisciplinary projects with interns and researchers
Preferred Qualifications:
- Experience in AI, ML, or related research projects
- Familiarity with large language models and reinforcement learning
- Knowledge of NLP or multi-modal systems
- Previous research experience or publications
- Strong communication skills; able to explain complex concepts
- Experience with data visualization and analysis tools
Required Skills: AI research experience, ML research experience, large language models
Important Skills: reinforcement learning, NLP knowledge, data visualization tools
Nice-to-Have Skills: previous research experience