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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

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engineering

Associate Product Manager

Toronto, Ontario, Canada

We are looking to add an Associate Product Manager to our fast growing product team. In this role, you’ll have a unique opportunity to develop your career in the rapidly evolving AI industry and collaborate with inventive machine learning and software engineers to build products that generate real-world impact. The ideal candidate has hands-on experience with software engineering in a fast-paced Agile environment, and is passionate about incorporating user feedback to deliver exceptional software tools.

As part of the Dessa team, you’ll contribute directly to the creation of tools designed for the future of AI engineering, while also enjoying a diverse and collaborative workplace culture.

What will you do?

  • Translate customer needs and feedback into requirements, features, and use cases with Dessa’s product and engineering teams
  • Ensure products rapidly deliver value by facilitating iterative releases
  • Collaborate closely with engineers and designers to help them determine optimal technical implementation strategies and schedules
  • Conduct user acceptance testing to ensure that the product delivers value and maintains an exceptional user experience
  • Contribute to the writing and testing of user-facing documentation aimed to delight our users
  • Participate in scrum meetings including standups, retrospectives, and demos and provide constructive feedback on sprint achievement to the team
  • Gather user feedback by taking part in customer-facing demos
  • Identify user needs and pain points by conducting primary and secondary research
  • Support the development of product strategy by contributing to market research

What do you need to succeed?

Must have:

  • 3+ years of hands-on experience as a Software Engineer
  • An Engineering, Computer Science, Physics, Math, or other related degree
  • Understanding of data science, data engineering, distributed computing, or big data technologies such as Hadoop, Spark, Flink, Kafka, etc.
  • Experience with any of the following languages or technologies: Python, R, Scala, Ruby, Javascript, SQL, AWS/Azure/Google cloud infrastructure, Kubernetes, NumPy, NoSQL databases, Docker, Puppet, Chef, Ansible
  • Experience producing high-quality technical documentation
  • Strong problem-solving and analytical abilities that allow you to dissect projects into manageable tasks and assess trade-offs
  • Experience working with Agile and Scrum processes throughout the SDLC
  • Proficient with JIRA or similar Agile management tools
  • Understanding of Version Control, Continuous Integration, and Continuous Deployment concepts and tools
  • 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 quantitative field
  • Familiarity with AI, machine learning, deep learning and related tools such as Tensorflow, Keras, PyTorch, MXNet, Scikit-learn, etc.
  • Experience with building data-related products and/or projects

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, sexual orientation, age, marital status, veteran status, or disability status.

Apply Now

Data Engineer

Toronto, Ontario, Canada

We are looking for experienced Data Engineers to work on the frontlines of transforming large enterprises with state-of-the-art machine learning technology. This role will involve working directly on client sites with our Enterprise Solutions team, including senior business leaders, fellow data engineers, and applied machine learning experts.

As a Data Engineer at Dessa, you will be exposed to a vast range of interesting and complex problems that will require ingenuity, resilience and speed. If you are eager to help build a world-class applied AI company and industry leading tools, we'd love to hear from you. As part of a dynamic and growing team, you will be at the forefront of the AI revolution.

What will you do?

  • Collaborate with clients and work closely with a team of machine learning engineers, software developers, product managers, and engagement managers on cutting-edge machine learning solutions
  • Facilitate the development and deployment of Dessa's proprietary software platform Foundations
  • Evolve Dessa’s data engineering capabilities through fun and creative projects that channel your passion for machine learning

What are the role's requirements?

  • Expertise using major data platforms (e.g. HDFS, Spark, Storm, Kafka, etc.) and ability to build a diverse range of RDMS and NoSQL databases with ease
  • Wizard-like ETL skills to navigate through EDLs, EDWs and legacy systems
  • Ability to efficiently map out and work with various enterprise tech stacks
  • Experience building production-grade data pipelines
  • Commitment to lifelong learning and an equal commitment to teaching and mentorship
  • Interest in and experience with Infrastructure as Code and DevOps, including developing and testing the infrastructure for the training of large-scale models
  • A relevant technical undergraduate degree such as Engineering or Computer Science

Nice to have:

  • Experience building logging and monitoring systems with the ELK stack or equivalent
  • Ability to quickly perform complex queries and support feature engineering
  • Familiarity with AI, machine learning, deep learning and related tools
  • Experience using AWS/Azure/Google cloud infrastructure, Kubernetes, Puppet, Ansible
  • Contributions to open-source or personal projects, combined with community involvement
  • Domain knowledge in telecommunications, retail, insurance or finance

What’s in it for you?

  • Work with purpose: contribute to producing real-world results with AI
  • 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 responsibilities and personal machine learning projects with mentorship from our machine learning experts



Apply Now

Lead Software Engineer

Toronto, Ontario, Canada

We are looking for a Lead Software Engineer for our Product Engineering Team who is passionate about code craftsmanship, continuous improvement, agile development and test driven development. 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 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, sexual orientation, age, marital status, veteran status, or disability status.

Apply Now

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 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
  • Opportunity to attend exclusive seminars at the Vector Institute with world renowned researchers in deep learning and AI
  • Split time between your work duties and pursuing personal machine learning passion projects
  • 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, sexual orientation, age, marital status, veteran status, or disability status.

Apply Now

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 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
  • Opportunity to attend exclusive seminars at the Vector Institute with world renowned researchers in deep learning and AI
  • Split time between your work duties and pursuing personal machine learning passion projects
  • 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, sexual orientation, age, marital status, veteran status, or disability status.

Apply Now

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 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, sexual orientation, age, marital status, veteran status, or disability status.

Apply Now

business

Engagement Lead

Toronto, Ontario, Canada

We are looking for an experienced Engagement Lead who can translate advanced AI applications into measurable business impact. In this role, you will have a chance to lead an amazing team of business and technical experts on a mission to enable client successes using cutting-edge machine learning technologies.

Working with clients across diverse industry verticals, as Engagement Lead you will help enterprise teams transform their organizations with AI, unlocking the technology's true potential. As part of a dynamic and quickly growing team at Dessa, you will be at the forefront  of the AI revolution.

What will you do?

  • Collaborate closely with clients to produce a customized roadmap of impactful AI solutions, taking into account both business and technical requirements
  • Facilitate the design and development of customized AI solutions
  • Lead client workshops and steering committee meetings
  • Manage a team of machine learning engineers by creating work plans and identifying client deliverables
  • Provide subject-matter expertise to assist in business development, including writing proposals, building use case materials and creating SOWs (Statements of Work)
  • Be a trusted mentor that nourishes our growing team’s capabilities

What are the requirements for this role?

  • 3+ years experience in Management Consulting, or previous hands-on experience in a related role working in data-intensive environments
  • Demonstrable experience developing and facilitating successful client relationships from end-to-end
  • Undergraduate degree in a technical field such as Engineering or Computer Science
  • Strong communication and presentation skills, with wizard-like abilities in PowerPoint, Word, and Excel
  • Excellent interpersonal skills, customer-centric attitude, and demonstrated success navigating cultural and technical diversity
  • Experience coding in Python, SQL or related programming languages
  • Relevant industry expertise, ideally in financial services or operations
  • A passion for applying technology to solve real business problems
  • Ability to work with a diverse range of people in a rapidly changing, multi-disciplinary work environment

Nice to have:

  • Expertise in AI, machine learning and/or deep learning
  • Experience working with Spark, TensorFlow, Keras or related libraries
  • Experience with data-related products, including statistics, data modeling, data science, distributed computing, and/or data analytics tools (Hadoop, R, SAS, Splunk, Spark, Flink, Kafka, etc.)

What’s in it for you?

  • Work with purpose: contribute to deploying AI solutions that drive real business impact
  • Opportunities to develop relationships with a variety of industry decision-makers, machine learning specialists and subject-matter 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 authenticity, creativity, and learning
  • Amazing quality-of-life benefits: healthy snacks, gym memberships, travel accommodations, parental leave, great health benefits, and more!
  • Stock options possible after demonstrating impact on the job
  • As needed: sponsorship for work visas

 

Apply Now

Senior Business Development Manager

Toronto, Ontario, Canada

Dessa is looking for a Senior Business Development Manager who will be responsible for cultivating new business opportunities with large enterprises across North America. The Senior Business Development Manager will also collaborate with our Enterprise Solutions team to expand existing relationships with Dessa’s key enterprise clients.

A proven track record building and managing a business development pipeline for either enterprise software or the financial services, insurance or telecommunications industries is a requirement for this role. The ideal person will be passionate about sharing Dessa’s vision for real-world AI with enterprise leaders, helping them scale the technology to re-invent what’s possible for business.

What will you do?

  • Cultivate new business relationships and opportunities, based on in-depth research on AI market dynamics in key industry segments
  • Manage and strengthen relationships with existing clients and develop growth opportunities
  • Develop deep expertise about Dessa products and use cases
  • Deliver a quantifiable business pipeline against assigned objectives
  • Forecast and document new project and budget information, including RFIs
  • Collaborate with Dessa’s product and marketing teams to produce tailored proposals
  • Frequently report status updates and pipeline forecasts to Dessa’s leadership team
  • Communicate customer feedback and insights regarding pricing and positioning to various teams at Dessa to inform product strategy
  • Strategically grow your network by attending key events and conferences

What do you need to succeed?

Must-haves:

  • 5+ years of relevant business development experience
  • 8+ years overall work experience
  • A university degree in Business or Computer Science, or equivalent experience
  • Proven track record of identifying, developing and nurturing new business relationships
  • Ability to quickly grasp technical concepts and translate into business language
  • Strong understanding of market dynamics, with ability to adapt strategies accordingly
  • Experience in account planning, forecasting or sales cycle management
  • Strong communication skills, especially in negotiation and persuasion
  • Hands-on mentality, able to work independently and under minimal direction
  • Willingness to work on a team with a diverse range of people in a dynamic environment
  • Ability to travel within Canada and the USA

Nice to have:

  • Experience in AI or a related discipline
  • Post-graduate degree in Business or Computer Science
  • A combination of corporate as well as start-up experience

What’s in it for you?

  • Work with purpose: contribute to AI solutions that drive real business impact
  • 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, sexual orientation, age, marital status, veteran status, or disability status.

Apply Now

“At Dessa, you’re able to quickly take a concept and turn it into reality faster than ever before.”

–Hashiam Kadhim, Machine Learning Engineer

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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