Dessa Media Kit

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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

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Reality over hype

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

Open positions

All positions Engineering Product Machine Learning Marketing and Communications

Engineering

Software Engineer

Toronto, Ontario, Canada

We are looking for a Software Engineer for our Product Engineering Team who is passionate about code craftsmanship, continuous improvement and agile development. Experience with Python is a must, with bonus points for any experience with Pandas, NumPy, JavaScript, and strong unit testing. If you are eager to help build the best applied AI company and industry changing tools, then you need to join us.

Working with a diverse range of technologies and clients across industry verticals, you will have the opportunity to become a leading expert in building developer tools for machine learning solutions to industry designed for 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?

  • Contribute to the product’s vision and goals, based on the organization’s technical strategy
  • Be part of a growing team of experts building a best-in-class machine learning platform
  • Work alongside and learn from an exceptional group of engineers with a strong team-oriented culture and test driven development culture
  • Drive the design and deployment of extremely large Machine Learning as a Service web applications and suite of products
  • Develop functional product prototypes in support of marketing, sales, and UX efforts
  • Debug,troubleshoot and fix issues
  • Actively take part in educational activities: e.g. giving tech talks, running webinars, leading internal hack-a-thons and coordinating lunch & learns / DoJos

What do you need to succeed?

Must have:

  • 3+ years of proven experience delivering scalable, distributed platforms in Python
  • Hands-on experience developing backend services in Python
  • Demonstrable experience with agile/SCRUM or similar methodologies for continuous development of product and technology
  • An Engineering, Computer Science, Physics, Math, or similar undergraduate degree
  • Penchant for great algorithm design and strong CS fundamentals
  • Strong passion for QA, usability and accessibility
  • Fundamental understanding of TDD practices
  • 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:

  • Strong hands-on experience in web development and related technologies, such as JavaScript, HTML, React, Node, Angular, or similar
  • Entrepreneurial mindset with an inherent sense of urgency and accountability
  • Experience delivering solutions at scale based on a variety of cloud and on-premises services (in the datacenter, AWS, Google, Azure, Digital Ocean, etc.)
  • Flexible and adaptable in the face of a rapidly changing market environment
  • Data-driven and “quantitative” mentality; grounded, detail-oriented, always backs up ideas with facts
  • An advanced degree in Computer Science or Engineering discipline
  • Demonstrable machine learning experience and knowledge
  • Contributions to open-source or personal projects

What’s in it for you?

  • Work with purpose: contribute to deploying machine learning products that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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.

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Senior Software Engineer

Toronto, Ontario, Canada

We are looking for a Senior Software Engineer who is passionate about code craftsmanship and DevOps to join our Product Engineering team. Experience delivering distributed, data-intensive applications is a must.

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. As part of a vibrant and growing team, you will be at the frontier of the AI revolution.

What will you do?

  • Develop cutting-edge machine learning software products with a DevOps mindset
  • Provide leadership by example in all areas of agile software development: continuous delivery, test-driven development, architectural design, coding practices, task estimation, and technical documentation and communication
  • Rapid research and prototype in support of discovery and proof-of-concept efforts
  • Contribute to the product’s vision from a technology perspective
  • Actively take part in mentorship and evangelism activities: e.g. giving technical talks, leading hack-a-thons, coordinating lunch and learns, etc.

What do you need to succeed?

Must have:

  • 5+ years of proven experience as a Software Engineer/Developer in an Agile software development environment
  • An Engineering, Computer Science, Physics, Math, or similar quantitative degree
  • Proficiency in several of the following languages and ecosystems: Python, Java, Javascript
  • Fluency in data modeling, common SQL & NoSQL databases, and distributed file systems
  • Experience with containerization and orchestration technologies
  • Familiarity with technologies related to CI/CD such as Jira, Jenkins, Docker, Ansible, Kubernetes, etc.
  • Experience delivering solutions leverage public cloud infrastructure and services
  • 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:

  • Experience with high-growth technology companies
  • Contributions to open-source projects
  • Demonstrable data engineering, data science, and/or machine learning experience and knowledge

What’s in it for you?

  • Work with purpose: contribute to deploying machine learning models that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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.



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Senior Software Engineer - Tech Lead

Toronto, Ontario, Canada

We are looking for a Senior Software Engineer who is passionate about code craftsmanship, continuous improvement, agile development and test driven development to join our Engineering team as a Technical Lead . Experience crafting applications and tools using Python and extremely strong unit testing are a must.

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. As part of a vibrant and growing team, you will be at the frontier of the AI revolution.

What will you do?

  • Contribute to the product’s vision and goals, as well as technical strategy
  • Lead the team in building a best-in-class machine learning platform and related tools
  • Oversee an exceptional group of engineers with a strong team-oriented culture
  • Provide technical leadership to drive the design and deployment of extremely large Machine Learning Platform and suite of products
  • Develop functional product prototypes in support of marketing, sales, andUX researchand discoveryefforts
  • Debug,troubleshoot and fix issues across multiple browsers
  • Actively take part in evangelism activities: e.g. giving tech talks, running webinars, leading internal hack-a-thons and coordinating lunch & learns / DoJos
  • Mentor the professional development of each direct report through personal and performance management and coaching

What do you need to succeed?

Must have:

  • 7+ years of proven experience as a Software Engineer/Developer delivering low latency websites or single page applications
  • 2+ years of progressive leadership experience directing high visibility initiatives
  • Experience developing backend services in Python
  • Demonstrable experience with agile/SCRUM or similar methodologies for continuous development of product and technology
  • An Engineering, Computer Science, Physics, Math, or similar degree
  • Penchant for great algorithm design and strong CS fundamentals
  • Strong passion for QA, usability and accessibility
  • Maniacal about TDD fundamentals, including experience with Gherkin language syntax
  • 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:

  • Experience delivering solutions at scale based on a variety of cloud and on-premises services (in the datacenter, AWS, Google, Azure, Digital Ocean, etc.)
  • Knowledge of deployment and continuous integration platforms such as Docker, Puppet, Chef, Ansible, Kubernetes, Mesos, Jenkins, TeamCity or Gitlab CI
  • Experience with high-growth technology companies, and in organizations that know how to compete and win
  • Entrepreneurial and collaborative, able to operate effectively at a high level but also hands-on, execution-oriented, and capable of getting things done quickly
  • Able to translate a long-term vision into a near-term, executable plan, including prioritizing and triaging effectively, deciding which projects to deliver first
  • Demonstrable machine learning experience and knowledge
  • Ensure community reach, having lead meetups, webinars, hacks, etc.
  • Contributions to open-source or personal projects

What’s in it for you?

  • Work with purpose: contribute to deploying machine learning products that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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.

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Product

Product Marketing Manager

Toronto, Ontario, Canada

We are looking to add a Product Marketing Manager to our fast growing product management team. In this role, you’ll have a unique opportunity to develop your career in the rapidly evolving AI industry and collaborate with world-class machine learning experts to build software products that generate real-world impact. The ideal candidate has successfully launched a technical enterprise product, worked in a startup environment, and has executed go-to-market strategies in collaboration with sales and marketing functions.

As part of the Dessa product management team, you’ll directly shape the marketing of Dessa’s products, contribute to product roadmaps, socialize product vision and marketing strategies while also enjoy a diverse and collaborative workplace culture.

What will you do?

  • Plan, manage, and execute launches of net-new products and releases of existing products within a cross-functional environment
  • Collaborate with product, marketing, sales, and enterprise solutions teams to develop the optimal positioning and messaging that resonate with our target buyers
  • Enable our sales team through content generation, training, and support during client meetings
  • Define pricing strategies in concert with sales, finance, and product teams
  • Know our buyers and their buying journey: who are they, how they buy, and what are their key buying factors
  • Maintain an up-to-date view of the competitive landscape: who are they, how are they positioned, and where they are headed
  • Translate your understanding of our technology into the right message for our audience
  • Track and measure performance of product marketing initiatives in concert with our marketing team to enable continuous improvement
  • Collaborate with the rest of the product management team to drive product roadmap

What do you need to succeed?

Must have:

  • 5+ years of product management experience with at least 2 years of experience in a product marketing role in a B2B environment (e.g. conducting market research, launching a product, etc.)
  • Successfully launched a non-SaaS enterprise software product, hands-on experience with go-to-market from strategy to execution
  • Demonstrable understanding of enterprise software procurement process and key stakeholders’ involvement
  • Technical aptitude to appreciate and communicate business value of machine learning technology
  • Strong oral and written communication skills, comfortable with presentation to both internal stakeholders and external clients
  • Excellent people and management skills to interact with cross-functional teams and external third parties: a great team player!
  • Strong problem-solving and analytical abilities that allow you to dissect projects into manageable tasks and assess trade-offs
  • Ability to work on a team with a diverse range of people in a rapidly changing and cross-functional work environment

Nice to have:

  • Post-graduate education in a technical or business field
  • Familiarity with AI, machine learning, or deep learning products such as Google ML Engine, AWS Sagemaker, Microsoft Azure ML Services etc.
  • Experience with building data-related products and/or projects

What’s in it for you?

  • Work with purpose: contribute to deploying machine learning products that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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.



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Machine Learning

Machine Learning Engineer

Toronto, Ontario, Canada

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’s in it for you?

  • Work with purpose: contribute to deploying machine learning products that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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

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’s in it for you?

  • Work with purpose: contribute to deploying machine learning products that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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

Marketing and Communications

Graphic Designer

Toronto, Ontario, Canada

We are looking for an impact-driven collaborator who is passionate about visual journalism, graphic design, web development and technology to join us as a Graphic Designer. Working closely with our internal stakeholders, the motivated candidate will help take our company’s visual identity to the next level and communicate complex ideas in refreshing ways for both digital and print mediums. The candidate will also have a unique opportunity to grow their knowledge about applied artificial intelligence first-hand and be part of a rapidly growing and dynamic company culture.

What will you do?

  • Design new elements and refine existing visual assets for our website and digital channels
  • Iterate on the development of our website to aid in A/B testing and implement changes from both internal and external feedback
  • Collaborate closely with internal stakeholders to design visual assets that help explain complex concepts for presentation decks and other public-facing material
  • Experiment with different traditional and digital methods to reinforce our unique position in the AI market
  • Support the evolution of Dessa’s visual identity by developing and executing on ideas for new promotional materials
  • Engage with various teams across Dessa to ensure design assets delight intended users

What is required to succeed in this role?

  • 3+ years of proven experience in graphic design, working with print and digital content
  • Experience in the technology or B2B industry
  • Adept use of Adobe Creative Suite and Microsoft Office, with an emphasis on
  • Being able to produce work that functions well in PowerPoint
  • Proficiency with Wordpress—web design skills including CSS and HTML ideal
  • A team-oriented mindset and ability to work with a diverse range of people
  • Ability to thrive in a fast-paced workplace and balance competing priorities
  • Strong attention to detail, with high levels of integrity, honesty, tact, and diplomacy

 What’s in it for you?

  • Work with purpose: contribute to deploying machine learning products that drive real business impact across industry verticals
  • Opportunity to work with leading machine learning experts on cutting-edge problems
  • Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
  • Split time between your work duties and pursuing personal machine learning passion projects with mentoring from our machine learning experts
  • Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
  • Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
  • Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
  • Stock options possible after you have proven your impact on the job
  • As needed: sponsorship for work visas

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