Machine Learning Engineer

Summary

Join StackAdapt's Data Science team as a Machine Learning Engineer and tackle complex problems for our digital advertising platform. You will collaborate with Data Scientists, Machine Learning Engineers, and Engineering teams to build data pipelines and ad optimization models. This role involves designing scalable real-time data pipelines, implementing custom ML algorithms, and working on microservice architectures. StackAdapt is a Remote First company, offering a competitive salary, equity, and comprehensive benefits. We are looking for candidates with a deep understanding of algorithms, software design, and experience in implementing machine learning algorithms. The ideal candidate will enjoy working in a collaborative environment and have a high GPA from a well-respected Computer Science program.

Requirements

• Have the ability to take an ambiguously defined task, and break it down into actionable steps
• Have deep understanding of algorithm and software design, concurrency, and data structures
• Experience in implementing probabilistic or machine learning algorithms
• Interest in designing scalable distributed systems
• A high GPA from a well-respected Computer Science program
• Enjoy working in a friendly, collaborative environment with others

Responsibilities

• Design modular and scalable real time data pipelines to handle huge datasets
• 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

Benefits

• 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!