Research Scientist

March 21

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Canvs AI

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Canvs AI is an insights platform designed to unlock deep insights from unstructured text data. Using its AI-powered tool Asa, it provides fast and accurate text analytics to help organizations extract valuable insights from diverse data sources. Canvs AI excels in processing open-ended questions, analyzing sentiments, and uncovering emotions within consumer feedback, enabling businesses to understand and enhance customer experiences, brand perception, and employee engagement. The platform is known for its ease of use, efficiency in delivering qualitative insights, and high level of customer support. Catering to various sectors, Canvs AI is ideal for teams looking to leverage unstructured feedback for strategic innovation, content optimization, and customer experience management.

social media analysis • emotion measurement • language analytics • interpret emotions • data insights

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Join Canvs AI's Data Science & AI team as a Research Scientist. • Lead the transformation from keyword-based to transformer-based emotion classification systems. • Design and implement a variety of LLM agents that provide accurate, trustworthy insights. • Develop evaluation frameworks and benchmarking systems for text-classification analysis models. • Research and implement novel approaches to emotion detection. • Collaborate with offshore engineering teams to deploy models to production. • Present findings to product and go-to-market teams. • Stay current with the latest advancements in NLP and transformer models.

🎯 Requirements

• MS or PhD in quantitative field (computer science, economics, ecology, math, physics, psychology, quantitative social science, etc.) with 3+ years of industry experience. • Strong expertise in transformer models and text classification systems. • Experience with large language models and retrieval-augmented generation (RAG). • Proven track record implementing and evaluating NLP models in production environments. • Strong software engineering skills with Python and modern LLM/ML frameworks. • Experience reducing hallucinations in LLMs through techniques like RLHF, policy models, constitutional AI, or other guardrail implementations. • Experience with model monitoring, validation metrics, and quality assurance for AI systems. • Skilled at working with unbalanced datasets and handling taxonomy mapping challenges. • Self-directed and able to prioritize effectively in a fast-paced environment. • Passionate about using AI to understand human emotions and drive customer insights. • Excellent communication skills and ability to explain complex technical concepts. • Experience working with remote or distributed engineering teams. • Ability to perform all the above according to applicable security and privacy best practices while staying up to date with ever-evolving standards in the industry.

🏖️ Benefits

• Tremendous opportunity for career growth, and performance bonuses. • Strong culture and commitment to values. • Flexibility via a fully distributed company (Work From Anywhere!). • Generous health benefits. • Unlimited paid vacation. • Summer Fridays. • Monthly (at a minimum) virtual team-building events.