Dessa Media Kit

Join us

Lust for life

Find a supportive space for self-expression, honesty and creativity at our headquarters in downtown Toronto. Level up your wellness too: Dessa offers healthy snacks, opt-in workout challenges, fitness subsidies, health benefits and more.

Always learning

Expand the scope of your AI knowledge with the opportunity to dedicate a portion of your workflow each week to special machine learning projects and mentorships

In the spotlight: Dessa’s AI Residency program

Ready for the next phase of your journey towards a career in AI? Our AI Residency is an eight-month program that provides successful candidates hands-on opportunities to hone their skills

Learn More

Reality over hype

Work with a diverse team that’s building AI systems designed for real-world impact

Open positions

All positions Engineering Machine Learning

Engineering

Senior Software Engineer, Cloud Orchestration

Toronto, Ontario, Canada

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.

 

Learn More

Senior Software Engineer, User Interface

Toronto, Ontario, Canada

Senior Software Engineer, User Interface

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 deep expert in JavaScript, React.js, and other front-end technologies, and you’re good at sharing your knowledge with your teammates.

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. The rest of our stack includes Python, 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.

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 your team, and to drive better outcomes than the team would have achieved without you. 

You’ll be our practice lead in front-end technologies, and you’ll be responsible for teaching other engineers who have more of a back-end background how to be true full stack developers.

To build the tools that make Machine Learning Engineers 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 (though you’re very welcome if you have some), just a keen interest in the field.

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.



Learn More

Machine Learning

Machine Learning Engineer

Toronto, Ontario, Canada

Who are we?

Dessa is a technology company transforming the way enterprises work with AI around the world. Based in Toronto, Dessa collaborates with enterprise teams across industries to design, build and deploy customized AI solutions that reinvent what’s possible for business. The company has a diverse and growing team of technical and business experts in applied AI, including Alex Krizhevsky, Dessa’s Technical Advisor and one of the field’s top contributors. Dessa’s creation of enterprise AI solutions is powered by our end-to-end platform, Foundations.

We are also a trusted player in the AI community, and have partnerships with industry leaders including NVIDIA, the Vector Institute, and Amazon Web Services. In 2017, we were named AI Company of the Year by the DFI Institute, and we received $9 million in Series A funding. Until the summer of 2018, the company was known as DeepLearni.ng.

We are looking for a Machine Learning Engineer who is passionate about creating solutions with massive impact, solving challenging real-world problems, and working in unexplored areas, continuous improvement and Agile development. Applied machine learning experience in driving business value from large datasets in Enterprise environments is a must.

Working with a diverse range of clients across industry verticals, you will have the opportunity to become a leading expert in delivering transformative machine learning solutions to industry that deliver real-world results. As part of a vibrant and growing team, you will be at the frontier of the AI revolution.

What will you do?

  • Take charge and manage important state-of-the-art machine learning and deep learning projects with billions of data points from day one
  • Collaborate with enterprise clients to customize machine learning solutions for their distinct business requirements
  • Design and develop different machine learning systems, insights, and algorithms, and then prototype, deploy to production, and test them to ensure all client’s business needs are covered
  • Manage overall software implementation lifecycles of projects, ensuring compliance with existing and future enterprise implementation standards
  • Facilitate the deployment and configuration of Dessa's software applications
  • Support the deployment team’s preparation of work plans, milestones, resource needs according to Dessa's standard methods and practices
  • Communicate ideas, updates, capabilities, and workflows to various business stakeholders as well as your fellow Dessa team members

What do you need to succeed?

Must have:

  • 3+ years of applied machine learning experience working with live datasets in Enterprise-level environments solving real-world problems using different approaches and techniques
  • Experience leading teams in deploying machine learning projects in enterprises
  • Proven prior experience working with very large datasets and live production systems where your ML solutions have made a real impact with measurable implications
  • An Engineering, Computer Science, Physics, Math, or similar graduate degree
  • Effective client-focused communication skills and comfort in interacting with diverse technical and business stakeholders at all levels
  • Proven hands-on experience with Python Machine Learning libraries, such as TensorFlow, and PyTorch, distributed computing frameworks such as Spark, and NoSQL databases such as Cassandra and MongoDB
  • Demonstrable understanding of and passion for statistics, probability theory, and data modeling, with a penchant for great algorithm design and strong CS fundamentals
  • Ability to work on a diverse team or with a diverse range of people, and in a rapidly changing multi-disciplinary work environment

Nice to have:

  • Demonstrable understanding of deep learning
  • Experience with semi-supervised, reinforcement learning, active learning, or natural language processing (NLP)
  • Experience implementing high-performance Service Oriented Architectures
  • Expertise with Docker or Kubernetes
  • Contributions to open-source or personal projects, combined with an active voice on the AI/ML/DL scene such as record of published research papers, involvement at conferences/meetups/online teaching, etc.
  • Experience working in one or more of the following sectors: banking, insurance, telecommunications

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, and it doesn’t stress long hours or dysfunctional values. We have nice offices in downtown Toronto, directly on a transit line, where you’ll work hard for eight hours and then go home on time.
  • 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.

 

Learn More

Senior Machine Learning Engineer

Toronto, Ontario, Canada

Who are we?

Dessa is a technology company transforming the way enterprises work with AI around the world. Based in Toronto, Dessa collaborates with enterprise teams across industries to design, build and deploy customized AI solutions that reinvent what’s possible for business. The company has a diverse and growing team of technical and business experts in applied AI, including Alex Krizhevsky, Dessa’s Technical Advisor and one of the field’s top contributors. Dessa’s creation of enterprise AI solutions is powered by our end-to-end platform, Foundations.

We are also a trusted player in the AI community, and have partnerships with industry leaders including NVIDIA, the Vector Institute, and Amazon Web Services. In 2017, we were named AI Company of the Year by the DFI Institute, and we received $9 million in Series A funding. Until the summer of 2018, the company was known as DeepLearni.ng.

We are looking for a Senior Machine Learning Engineer who is passionate about creating solutions with massive impact, solving challenging real-world problems, and working in unexplored areas, continuous improvement and Agile development. Applied machine learning experience in driving business value from large datasets in Enterprise environments is a must.

Working with a diverse range of clients across industry verticals, you will have the opportunity to become a leading expert in delivering transformative machine learning solutions to industry that deliver real-world results. As part of a vibrant and growing team, you will be at the frontier of the AI revolution.

What will you do?

  • Take charge and manage important state-of-the-art machine learning and deep learning projects with billions of data points from day one
  • Collaborate with enterprise clients to customize machine learning solutions for their distinct business requirements
  • Design and develop different machine learning systems, insights, and algorithms, and then prototype, deploy to production, and test them to ensure all client’s business needs are covered
  • Manage overall software implementation lifecycles of projects, ensuring compliance with existing and future enterprise implementation standards
  • Facilitate the deployment and configuration of Dessa software applications
  • Support the deployment team’s preparation of work plans, milestones, resource needs according to Dessa’s standard methods and practices
  • Mentor junior machine learning engineers in developing their skills and knowledge
  • Communicate ideas, updates, capabilities, and workflows to various business stakeholders as well as your fellow Dessa team members

What do you need to succeed?

Must have:

  • 2 years with deep learning applied in industry or 3-5 years of traditional machine learning experience in industry working with live datasets in Enterprise-level environments solving real-world problems
  • Experience leading teams in deploying machine learning projects in enterprises
  • Proven prior experience working with very large datasets and live production systems where your ML solutions have made a real impact with measurable implications
  • An Engineering, Computer Science, Physics, Math, or similar graduate degree
  • Effective client-focused communication skills and comfort in interacting with diverse technical and business stakeholders at all levels
  • Proven hands-on experience with Python Machine Learning libraries, such as TensorFlow, and PyTorch, distributed computing frameworks such as Spark, and NoSQL databases such as Cassandra and MongoDB
  • Demonstrable understanding of and passion for statistics, probability theory, and data modeling, with a penchant for great algorithm design and strong CS fundamentals
  • Ability to work on a diverse team or with a diverse range of people, and in a rapidly changing multi-disciplinary work environment

Nice to have:

  • Demonstrable understanding of deep learning
  • Experience with semi-supervised, reinforcement learning, active learning, or natural language processing (NLP)
  • Experience implementing high-performance Service Oriented Architectures
  • Expertise with Docker or Kubernetes
  • Contributions to open-source or personal projects, combined with an active voice on the AI/ML/DL scene such as record of published research papers, involvement at conferences/meetups/online teaching, etc.
  • Experience working in one or more of the following sectors: banking, insurance, telecommunications

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, and it doesn’t stress long hours or dysfunctional values. We have nice offices in downtown Toronto, directly on a transit line, where you’ll work hard for eight hours and then go home on time.
  • 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.

 

Learn More

Building the future of AI today

We’re always on the lookout for the brightest minds to collaborate with us as builders and champions of real-world AI. Sound like you but don’t see a position?

Get in touch