About the teamOur NLP team at Dialpad is a diverse and vibrant group of scientists who come from varied fields such as linguistics, computational linguistics, machine learning, computer science, material science, biology, and quantum physics. We prioritize innovation and creativity in our pursuit to push the boundaries of Natural Language Processing and Artificial Intelligence.We deliver natural language understanding (NLU) features for transcribed speech and typed inputs. The major focus of the team currently is enhancing DialpadGPT, our in-house LLM specifically designed for the domain of business communication and delivering features that use DialpadGPT. Beyond the technical skills, we're a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems.Together, our goal is to revolutionize business communications, making it more efficient, accurate, and accessible through the power of ASR, NLP and machine learning. Using a variety of tools and technologies we're driven to continuously improve and refine our products, delivering top-tier solutions to our customers. Your roleAs an Applied Scientist at Dialpad, you'll be an integral part of our NLP team, working on our in-house LLM, DialpadGPT and other LLMs as we extend our NLP functionality to other languages (French, Italian, German, Spanish, and Dutch). You'll be involved in all stages of model development, from conceptualization to deployment, focusing on enhancing language understanding in business communications. Collaboration will be key as you work alongside our engineering, design, and product teams to build ground-breaking applications.If you're passionate about language, AI, and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.This position reports to the Manager of the NLP team and has the opportunity to be based in our Vancouver Office or work remotely from anywhere in Canada or the US. What you'll do Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad's products.Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of resultant business impacts.Collaborate with cross-functional teams, including engineering, product, and design, to effectively deploy and scale models and algorithms in production.Contribute to the development of DialpadGPT ensuring high accuracy, cost-effectiveness, and optimal performance in serving at scale.Submit papers to top-tier academic conferences and journals and contribute to the broader scientific community by reviewing submissions.Capitalize on your interest in languages to extend our coverage to other languages - Spanish, French, Japanese etc. and to optimize models for other varieties of English.Skills you'll bringMaster's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.Demonstrated experience with machine learning, Python, Pytorch and other relevant tools and technologies.A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.Knowledge of one or more of the languages we'll be adding: French, Italian, German, Spanish, or Dutch.Strong problem solving and analytical abilities, with the capacity to handle complex technical and analytical problems.Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.Familiarity with version control tools like Git for collaborative projects.Dialpad benefits and perksBenefits, time-off, and wellnessAn apple a day keeps the doctor away—and it doesn't hurt that we offer flexible time off and great options for medical, dental, and vision plans for all employees. Along with that, employees also receive a monthly stipend to help cover your cell phone bill, home internet bill, and we reimburse for gym membership costs, a variety of wellness events, and more!Professional developmentDialpad offers reimbursement for expenses related to professional development, up to an annual limit per calendar year.
