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.


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