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 (include a cover letter too!).

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.

Release & QA Manager is seeking a Release and QA Manager to join a high performing team to design and build machine learning tools for enterprise (including an end-to-end machine learning platform). As Release & QA Manager, you'll work with diverse enterprise teams across industries, helping drive quality assurance, user acceptance testing and go-to-market for machine learning tools and metrics.

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.

Engagement Manager is looking for an experienced Engagement Manager who can help executive clients translate machine learning into real business impact. You will have the opportunity to combine your passion for machine learning and creating measurable business impact, while simultaneously leading a top-performing 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.