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!)
DeepLearni.ng is looking for a Lead Full-Stack Software Engineer for our Product Engineering Team who is passionate about code craftsmanship, continuous improvement and agile development.
DeepLearni.ng 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.
DeepLearni.ng is seeking an Site Reliability Engineer (SRE) Lead to join a high performing team. The SRE Lead will be a foundational member that drives quality assurance, user acceptance testing, performance optimization, load testing and go-to-market for tools and metrics.
As SRE 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.
DeepLearni.ng 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.
DeepLearni.ng is looking for a Technical Product Owner who is passionate about driving product management activities in all facets of the product life-cycle while working closely with the development team in a fast-paced Agile environment. Prior hands-on experience in software product development is required to be successful in this role.
Working with a diverse range of technologies and clients across industry verticals, you will have the opportunity to become a leading expert in delivering transformative machine learning solutions to industry designed for real-world results.
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.