Careers

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 Full-stack Software Engineer

DeepLearni.ng is looking for a Lead Software Engineer for our Product Engineering Team who is passionate about code craftsmanship, continuous improvement and agile development.

Experience crafting web applications using Python, specifically Flask, JavaScript, HTML, CSS and extremely strong unit testing is a must. We are looking for you to bring a healthy mix of top-notch work ethics and karaoke mastery to our uniquely vibrant workspace.

Senior Product Manager

DeepLearni.ng 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 

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.

Senior Site Reliability Engineer (SRE Lead) 

DeepLearni.ng is seeking an SRE Lead to join a high performing team. The SRE Lead will be a foundational member creating the practice of stringently testing machine learning tools for enterprise, including an end-to-end machine learning platform.

Engagement Manager 

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.

Educate

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.

Empower

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!

Elevate

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.