troveo - Senior Researcher
Requirements
• Master’s degree in Applied Sciences, Statistics, or a related field required. • 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 is a plus. • Domain familiarity with our business area (or ability to ramp quickly) is valuable.
Responsibilities
• Monitor and synthesize trends across our industry, AI and machine learning research, foundation models, agents, evaluation techniques, and data enrichment methods. • Tinker with emerging models, tools, datasets, and techniques to understand their practical potential. Build lightweight prototypes, run experiments, and explore unconventional combinations to turn interesting ideas into evidence. • Identify high-leverage opportunities to enrich or restructure our existing assets (internal and external), including multimodal and audiovisual sources as well as approaches for generating high-quality training corpora that could improve model performance, product features, or decision-making. • Translate research into actionable outputs: opportunity briefs, experiment proposals, success criteria, and recommendations on what to explore next. • Own and advance a research program around priority data opportunity areas, including designing and running experiments and proof-of-concepts to validate hypotheses and de-risk ideas. • Partner with product, prototypers, engineers by providing well-scoped ideas and serving as a research advisor. • Maintain living knowledge bases and briefings that keep the broader team informed. • Evaluate emerging techniques and papers for relevance in our context. • Contribute the research perspective to prioritization and longer-term opportunity discussions. • Support business operations in ad hoc requests. • Ideal Background • 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, and is comfortable learning by building and experimenting. • Deep familiarity with modern paradigms including large language models, multimodal models, retrieval-augmented generation, agent architectures, fine-tuning, model distillation, and evaluation frameworks. • Clear communication of research findings to both technical and non-technical audiences.
Benefits
• Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees) • Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it • Remote-First Policy: Work from anywhere in the US (with occasional team offsites) • Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders • Equity Ownership: Competitive equity package with clear growth potential as we scale • Modern Tech Stack & Tools: Budget for the best equipment and software • Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance. We believe great work happens when people are supported, challenged, and given ownership.
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