Senior Researcher

Troveo AI

. Monitor and synthesize trends across AI, machine learning research, foundation models, agents, evaluation techniques, and data enrichment methods .

Posted 10/20/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applied research and machine learning, with a strong focus on experimentation, model evaluation, and data enrichment techniques. Capable of translating complex research findings into actionable insights and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Applied Research ExperienceMachine Learning ResearchLarge Language ModelsExperimentation MindsetMaster's Degree in Applied Sciences

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData EnrichmentModel EvaluationSynthetic Data GenerationKnowledge Graph ConstructionActive LearningWeak SupervisionFine-TuningModel DistillationRetrieval-Augmented Generation

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

APIsDatasetsEvaluation Frameworks

Certifications & Qualifications

Master's Degree

Industry Keywords

AIMultimodal ModelsResearch ProgramsOpportunity DiscoveryPrototyping

About the role

Key responsibilities & impact

Monitor and synthesize trends across AI, machine learning research, foundation models, agents, evaluation techniques, and data enrichment methods
Experiment with emerging models, tools, datasets, and techniques
Build lightweight prototypes and run experiments to evaluate ideas
Identify opportunities to enrich or restructure multimodal, audiovisual, and other data assets
Explore approaches for generating high-quality training corpora
Translate research into opportunity briefs, experiment proposals, success criteria, and recommendations
Own and advance research programs around priority data opportunity areas
Design and run experiments and proofs of concept to validate hypotheses and reduce risk
Partner with product, prototyping, and engineering teams as a research advisor
Maintain living knowledge bases and team briefings
Evaluate emerging techniques and research papers for relevance
Contribute research perspectives to prioritization and longer-term opportunity discussions
Support business operations through ad hoc requests

Requirements

What you’ll need

5+ years of relevant experience in applied research or machine learning research
Strong hands-on experimentation mindset with models, APIs, datasets, tools, and techniques
Deep familiarity with large language models, multimodal models, retrieval-augmented generation, agent architectures, fine-tuning, model distillation, and evaluation frameworks
Clear communication of research findings to technical and non-technical audiences
Master’s degree in Applied Sciences, Statistics, or a related field required
Track record centered on opportunity discovery and problem definition
Experience with 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 the company’s business area or ability to ramp quickly is valuable
Legally authorized to work in the United States
Willingness to undergo a background check in accordance with local law/regulations

Benefits

Comp & perks

Medical, dental, and vision coverage (100% employer-paid for employees)
Unlimited PTO with encouragement to use it
Paid holidays
Remote-first work from anywhere in the US
Annual learning stipend
Access to top conferences
Direct mentorship from experienced founders
Competitive equity package with clear growth potential
Budget for equipment and software
High-trust, low-ego culture focused on impact, transparency, and work-life balance