Senior Full Stack Software Engineer
Who are we?
Dessa helps the world’s largest organizations reinvent what’s possible with machine learning. Since 2016, we’ve excelled at applying cutting-edge ML techniques to generate significant value in industries ranging from finance to telecommunications. Today, we’ve shifted our focus to help teams to develop and maintain machine learning models themselves, powered by our Atlas platform and our Orbit production suite.
We have a diverse and growing team of technical and business experts in applied AI, and are lucky to count Alex Krizhevsky as our Principal ML Architect (who you can read more about here). We’re also a trusted player in the AI community, and have partnerships with industry leaders including NVIDIA, the Vector Institute, and Amazon Web Services. Until 2018, the company was known as DeepLearni.ng.
Who are you?
You’re a software professional who’s passionate about your craft. You write clean code, you’re great at testing and refactoring, and you have a clue about algorithms and CS fundamentals.
You have a long and distinguished track record of delivering great software that makes a difference for the people who use it.
You’ve demonstrated the ability to think strategically and mentor those around you. You have good design sense, you understand what good code and good architecture are, and you can articulate that to those around you. You have a track record of helping your teammates level up.
You’re a lifelong learner who stays current with new technologies, and you have delivered great software using more than one software stack. Right now, we’re using Python, React.js, Docker, Kubernetes, and a host of cloud technologies: you’ve either used these (or similar) things in the past, or you know you can pick them up readily in your first few months on the job because you’re good at learning new skills quickly. (In particular, part of your technical interview will be in Python.)
You know you can dive in head first and tackle any problem you face, from the UI to storage or anywhere in between. You might be stronger in some areas than in others, but you’re competent everywhere, and can be the pairing partner that someone who’s learning can lean on.
You’re effective at working very closely with teammates from many backgrounds on a mature Agile team.
You’re conversant enough in English to contribute to deep technical discussions in it, to work closely all day with other English speakers who have a variety of accents and skill levels, and to stay current with technical papers that are written in English. You can organize your thoughts well enough to express them coherently to other team members, and to wider audiences.
Inventing the future of AI sounds amazing to you, and you want in.
What would you do at Dessa?
We’re on a mission to help our clients do the impossible, and you’ll be building the tooling that allows them to do precisely that.
You’ll be a senior teammate on a high-maturity Agile team, doing pair programming, test-driven and behaviour-driven development, refactoring, simple emergent design, and much more. We’ll be looking to you to improve the overall maturity of our team, and to drive better outcomes than the team would have achieved without you.
To build the tools that make Machine Learning Engineers (MLEs) awesome, we’ll need you to become a MLE, at least some of the time. We’ll teach you to do that, and we’ll give you time and support to use the tools you’re creating to do good in the world. You don’t need any previous ML or AI experience, just a keen interest in the field (though you’re very welcome if you have some).
What would you get out of joining us?
You’ll have the opportunity to work with purpose. You’ll be inventing the future of AI/ML development, and also have dedicated hours to pursue your own personal machine learning passion projects as part of our initiative Meta Labs, with mentoring from our machine learning experts. Here’s a recent example.
You’ll also get to develop relationships with key machine learning experts and prominent industry figures, and build your career toolkit. This is a great way to get your foot in the door and build some relevant MLE experience to pursue a career in AI.
Our engineering culture stresses self-expression, creativity, honesty, and learning. We have nice offices in downtown Toronto, directly on a transit line.
We offer a premium compensation package including base salary, bonus and stock options, as well as benefits such as comprehensive health and dental coverage, healthy snacks, gym memberships, transit reimbursement, and more! We can also offer relocation and sponsorship for a work visa, if you need either or both of those things.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.