Senior/Staff Data Engineer

What you’ll be doing:

• Design modular and scalable real time data pipelines to handle huge datasets
• Suggest, implement, and coordinate architectural improvements for big data ML pipelines
• Understand and implement custom ML algorithms in a low latency environment
• Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently

What you’ll bring to the table:

• Have the ability to take an ambiguously defined task, and break it down into actionable steps
• Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
• Have deep understanding of algorithm and software design, concurrency, and data structures
• Experience in implementing probabilistic or machine learning algorithms
• Experience in designing scalable distributed systems
• A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
• Enjoy working in a friendly, collaborative environment with others

StackAdapters enjoy:

• Competitive salary + equity
• RRSP matching
• 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
• Access to a comprehensive mental health care platform
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• Mentorship opportunities with industry leaders
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events!