Senior Researcher

The role

A Senior Researcher will explore and experiment with new AI models, techniques, and ideas. The role focuses on identifying opportunities to enrich data assets and translating research into actionable business opportunities.

What you will do

• Monitor and synthesize trends across AI and machine learning research, foundation models, agents, and data enrichment methods.
• Tinker with emerging models, tools, datasets, and techniques to build prototypes and run experiments.
• Identify opportunities to enrich or restructure existing multimodal and audiovisual assets.
• Translate research into opportunity briefs, experiment proposals, and recommendations.
• Own and advance a research program around priority data opportunity areas.
• Partner with product, prototypers, and engineers as a research advisor.
• Maintain living knowledge bases and briefings.
• Evaluate emerging techniques and papers for relevance.
• Contribute research perspective to prioritization and long-term discussions.
• Support business operations in ad hoc requests.

Required qualifications

• 5+ years of relevant experience in applied research or machine learning research.
• Strong tinkerer’s mindset: enjoys getting hands-on with new models, APIs, datasets, tools, and techniques.
• Deep familiarity with modern paradigms including large language models, multimodal models, retrieval-augmented generation, agent architectures, fine-tuning, model distillation, and evaluation framewor
• Clear communication of research findings to both technical and non-technical audiences.

Nice to have

• Master’s degree in Applied Sciences, Statistics, or a related field
• Track record centered on opportunity discovery and problem definition
• Experience with data enrichment approaches such as synthetic data generation, active learning, weak supervision, and knowledge graph construction
• Ability to stay current across research and industry sources while separating signal from noise
• Experience collaborating with prototyping or applied teams
• Domain familiarity with our business area

Benefits

• Remote-First Policy: Work from anywhere in the US (with occasional team offsites)
• Annual learning stipend
• Access to top conferences
• Direct mentorship from experienced founders
• Budget for the best equipment and software

About the company

Troveo builds the data platform that AI labs and model builders need to train the next generation of models. They have created a licensed platform of proprietary data for AI spanning video, audio, text, and business workflows.