Staff Software Developer - AI/ML

At CoLab, we help engineering teams bring life-changing products to the world years sooner. Our product, CoLab, is the world’s first Design Engagement System (DES) - a category defining product that Engineering teams use to engage in meaningful, productive design conversations, catch preventable mistakes, and get to market faster. Our customers include the largest engineering organizations in the world such as Ford, Johnson Controls, Komatsu, and Polaris in the industrial equipment, consumer products, automotive, aerospace & defense, and shipbuilding industries.

We’re not just offering a job; we’re inviting you to join a groundbreaking team that drives innovation in the tech industry. In this role, you’ll have the opportunity to work on cutting-edge projects with a team that values your unique skills and perspectives. Our supportive and collaborative environment is designed to foster your professional growth and creative problem-solving. With competitive compensation, comprehensive benefits, and a strong commitment to work-life balance, CoLab Software is where your career can truly thrive and make a meaningful impact. 

Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you don’t meet every single qualification—your potential is what matters most to us.

Staff Developers are the key members of our Architecture organization, and the bridge between the Build teams and the Architecture team.  They contribute directly with the Build teams on the most complex projects, as well as with each other to define and standardize technology, tools and best practices across the R&D organization. 

What you’ll do: 

  • Understand complex customer problems and requirements and work in a team to build a solution that adds value for the customer and the product as a whole
  • Research and develop best practices for software teams to delivery quality with efficiency
  • Participate in code reviews to champion established best practices and standards
  • Champion new processes, tools and technologies to solve new problems
  • Own the technology direction and best practices
  • Mentor and be an information source to Build team members
  • Write architecture documentation, build proof of concept implementations and solve complex technical challenges to prove viability
  • Design and partner in building a robust production infrastructure for ML models, focused on testability and consistency in results
  • Define the process, technologies and algorithms used in building and training our ML models and infrastructure

What you’ll need: 

  • 5+ years of professional, hands-on development experience
  • A deep knowledge of web application architecture across the whole stack
  • Experience building distributed systems including message queues and multiple data stores
  • Expert with Git workflows (GitHub Actions experience an asset)
  • Experience developing code quality standards and best practices
  • Willingness to raise your hand when you see something could be done / built better
  • Ability to understand complex tasks and break them down into simple chunks
  • Previous experience with machine learning technologies - beyond just LLMs
  • A demonstrated ability to release production-quality machine learning features in existing production environments

Why CoLab? 

  • This is a full-time, permanent position with a competitive compensation package that includes commission and stock options.
  • This role offers an extended health and benefits package that includes unlimited paid vacation and RRSP 
  • Our main office location is in St. John’s, NL where we offer hybrid and remote opportunities. This position has the flexibility to work remotely from anywhere in Canada.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...