Description:

The Software Engineer Intern/Co-op position is for students excited about building the next generation of machine learning models and NLP products.
Interns will have the opportunity to create datasets for machine learning, scale pods to serve the API, and build new security features on the platform.
Interns will not be distinguished from full-time employees and will have opportunities to push code to production.
The role offers full autonomy and ownership over high-impact work, supported by a team of leaders and mentors.
Interns will work on various teams and roles, including Frontend, Backend, Full-stack, and Infrastructure, with interests and experience taken into account during the application process.
Responsibilities include shipping user-facing products, building features for the API platform, designing data pipelines, implementing scalable services for machine learning, building internal tooling, and contributing to technical documentation.
Candidates should be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term.

Requirements:

Candidates must be currently enrolled in a post-secondary program.
Availability for a full-time 3-6 month internship, co-op, or research work term is required.
A thoughtful work ethic, a commitment to lifelong learning, and being a kind and playful team member are essential qualities.
Experience in software engineering, machine learning, or related fields is preferred but not strictly necessary; candidates are encouraged to apply even if their experience does not perfectly align with the role.

The position offers an open and inclusive culture and work environment.
Interns will work closely with a team on the cutting edge of AI research.
Free daily lunch is provided.
Full health and dental benefits are included, along with a separate budget for mental health care.
Personal enrichment benefits are available for arts and culture, fitness and well-being.
The role is remote-flexible, with offices in Toronto, New York, San Francisco, and London, along with coworking stipends.
Paid vacation is offered.