
Senior Researcher
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in United States.
• Monitor and synthesize trends in AI, machine learning research, foundation models, agents, evaluation techniques, and data enrichment strategies.
• Experiment with innovative models, tools, datasets, and methodologies.
• Develop lightweight prototypes and conduct experiments to assess concepts.
• Identify opportunities to enhance or reorganize multimodal, audiovisual, and various data assets.
• Investigate methods for generating high-quality training corpora.
• Convert research findings into opportunity briefs, experiment proposals, success criteria, and actionable recommendations.
• Lead and advance research initiatives in key data opportunity areas.
• Design and execute experiments and proofs of concept to validate hypotheses and mitigate risks.
• Collaborate with product, prototyping, and engineering teams as a research consultant.
• Maintain up-to-date knowledge bases and conduct team briefings.
• Assess emerging techniques and research papers for their relevance.
• Provide research insights to inform prioritization and long-term opportunity discussions.
• Assist business operations with ad hoc requests.
• Over 5 years of relevant experience in applied research or machine learning research.
• Strong hands-on experimentation mindset with models, APIs, datasets, tools, and techniques.
• Extensive familiarity with large language models, multimodal models, retrieval-augmented generation, agent architectures, fine-tuning, model distillation, and evaluation frameworks.
• Ability to clearly communicate research findings to both technical and non-technical audiences.
• A Master’s degree in Applied Sciences, Statistics, or a related field is required.
• Proven track record focused on opportunity discovery and problem definition.
• Experience with synthetic data generation, active learning, weak supervision, and knowledge graph development.
• Capability to remain informed across research and industry sources while distinguishing valuable insights from noise.
• Experience collaborating with prototyping or applied teams is advantageous.
• Familiarity with the company’s business area or the capacity to quickly learn is beneficial.
• Must be legally authorized to work in the United States.
• Willingness to undergo a background check in compliance with local laws and regulations.
• Comprehensive medical, dental, and vision coverage (100% employer-paid for employees).
• Unlimited paid time off (PTO) with encouragement to utilize it.
• Paid holidays.
• Remote-first work model allowing flexibility to work from anywhere in the US.
• Annual learning stipend.
• Access to premier conferences.
• Direct mentorship from experienced founders.
• Competitive equity package with clear potential for growth.
• Budget allocated for equipment and software.
• A high-trust, low-ego culture centered on impact, transparency, and work-life balance.
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