What kind of future are you building?

Ready to build machine learning for the real world? Us too. We’re working hard to find the brightest minds to collaborate with us as employees, interns and co-ops.

Sound like you but don’t see a position? Send over your resume and we'll get in touch if we find something that fits (don't forget a cover letter!).

Lead Front End Engineer is looking for a Lead Front End Engineer for our Product Engineering Team who is passionate about code craftsmanship, continuous improvement and agile development. Experience crafting applications using Angular, Ember, React or other Javascript MVC frameworks and a predisposition toward behavioural/unit testing is a must.

Senior Product Manager is seeking a Senior Product Manager to join a high performing team that's building a machine learning platform for enterprise. As Senior Product Manager, you’ll have a direct role in designing machine learning tools designed to make machine learning accessible for enterprise teams, while simultaneously overseeing the project’s strategic and operational aspects.

Machine Learning Engineer is looking for a Machine Learning Engineer for our Deployment Team who is passionate about code craftsmanship, continuous improvement and agile development. Experience extracting insights from large datasets is a must.

QA Lead is seeking a QA Lead that will be a foundational member in creating the practice of stringently testing machine learning tools for enterprise. As QA Lead, your main focus will be to maintain a high bar and rigorous standards in overall quality and user experience of new machine learning tools custom-built for enterprise.

Engagement Manager is looking for an experienced Engagement Manager that can help enterprise teams translate machine learning into measurable business impact. You will have the opportunity to combine your passion for machine learning and work with a diverse range of clients across industry verticals, all while leading an exceptional team of machine learning experts.


Learn the latest tools for machine learning from our team of experts including 2 PhDs and a NEXT 36 alum. Receive regular feedback on your performance and take part in frequent machine learning workshops, hack-a-thons and coding DOJOs.


Enjoy a supportive work environment where the balance is as much on professional development as personal health and wellness (benefits package included). We encourage self-expression, casual attire and whistling while you work!


Build your professional network through frequent opportunities to meet and develop relationships with industry influencers: the business leaders of large enterprises, unicorn founders and legitimate builders from the machine learning field.