About Dialpad
Every engineer on our global Engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results. Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work—enabling companies to work from anywhere and making business communication more human.

Co-Ops Program
Are you a motivated student eager to gain real-world experience in software engineering? Join our Co-Op Software Engineer Program in Canada, where you'll have the opportunity to work alongside seasoned professionals on impactful projects. This program is designed to provide hands-on experience, mentorship, and the chance to contribute to cutting-edge solutions. If you're passionate about technology, collaborative problem-solving, and expanding your skills, this is the opportunity for you.

Start date for the Program is January 2025, and is a full-time, hybrid position.*

About the role

Perform experiments and evaluations in areas related to natural language processing, large language models (LLMs) specifically working on Dialpad’s foundation model, DialpadGPT. Build and improve specialized software tools to prepare and analyze data Communicate and collaborate with team members, presenting work for regular review and working closely with a mentor Troubleshoot and analyze data to determine issue causes and investigate solutions

This position is based in Vancouver, Canada office, where you will work with a local mentor who will help you learn Dialpad’s technologies and processes, and support you in achieving your internship goals.

About you

Currently pursuing a Master’s or PhD in Computer Science, Computer Engineering, Machine Learning, Data Science, or a related field of study. Candidates must have already completed an undergraduate degree in a relevant field. Minimum of 8 months of hands-on experience in NLP, ML or software development. Available to work full-time (40 hours per week), Monday to Friday, 9 AM to 5 PM. Highly skilled with Python-based machine learning and data tools. A solid understanding of data structures, algorithms, and software design. Skilled in designing and executing experiments and providing a detailed analysis of results.

Bonus Points

Research experience in natural language processing, large language models, and other related machine learning areas. Experience with handling text data at scale.