Machine Learning Engineering Intern

United States Digital Space LLC; Toronto; Hybrid; CAD 62,000 - 96,000; Full time

Benefits offered by this job

Competitive hourly pay ($45-$70/hr)

Lunch reimbursement (up to $25)

PTO 4 days

Job summary

United States Digital Space LLC is seeking interns for the Knowledge Assist team to build AI for the contact center. You’ll work with top researchers and engineers to apply novel techniques at scale, developing KA solutions and models.

Applicants should be pursuing a BS/MS in CS/AI, be proficient in Python, and familiar with PyTorch or TensorFlow, with a solid ML foundation and experience handling large datasets. Office-based roles in North America.

Qualifications

• Pursuing a Bachelor's or Master's degree in Computer Science, AI, ML or related field.
• Proficiency in Python and familiarity with at least one deep learning framework.
• Strong understanding of machine learning fundamentals and generative modeling.
• Ability to design and analyze experiments involving large-scale datasets.
• Work authorization in the country of employment at the time of hire.

Responsibilities

• Design, develop, and deploy the company’s KA solutions and proprietary models.
• Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios.
• Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into the company’s customer solutions.
• Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
• Contribute to solving cutting-edge problems in AI and help define the future roadmap for the company’s KA.
• Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Skills

Python

PyTorch

TensorFlow

ML fundamentals

Generative modeling

Education

Bachelor's or Master's in CS/AI or related

Job description

the company unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. the company’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use the company to power world-class customer experiences every day.

Born from the Stanford AI Lab, the company has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. the company’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining the company to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at the company.

the company is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, the company's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at the company.

About the role:

At the company, the Knowledge Assist (KA) team develops AI solutions for the contact center industry, focusing on improving agent productivity by providing access to the right knowledge at the right time.

Our current projects:

• Generative Knowledge Assist (GenKA): Real-time, context-aware suggestions for contact center agents, integrating with multiple knowledge bases to streamline information retrieval, reduce agent effort, and ensure accurate responses.

• Knowledge Search (KS): A search experience tailored for contact center agents. Built on the GenKA stack, it aims to evolve into an enterprise search solution beyond contact centers.

• Retrieval-Augmented Generation (RAG): A critical project underpinning GenKA, KS, and VA, enabling efficient retrieval of relevant knowledge content and generating read-to-use agent responses grounded in knowledge.

Our internships offer a dynamic, fast-paced environment where you’ll collaborate with top researchers and engineers in the field. We provide opportunities for interns to make significant contributions to AI research and apply novel techniques at scale.

This is a unique opportunity to shape the future of AI at the company by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities:

• Design, develop, and deploy the company’s KA solutions and proprietary models.

• Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios.

• Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into the company’s customer solutions.

• Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.

• Contribute to solving cutting-edge problems in AI and help define the future roadmap for the company’s KA.

• Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Qualifications We Value:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow).

• Strong understanding of machine learning fundamentals and generative modeling.

• Ability to design and analyze experiments involving large-scale datasets.

• Work authorization in the country of employment at the time of hire.

Perks & Benefits:

• $45-$70 per hour subject to taxes

• Lunch can be expensed (up to $25) while working in the office.

• PTO: 4 days

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

This posting will be used to fill a newly‑created role.