Machine Learning Engineer

We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

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

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

Benefits

Highly competitive salary; Retirement/401K/Pension Savings globally; Competitive Paid time off packages including birthday's off; Access to a comprehensive mental health care program; 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 and hubs in London and Toronto; Robust training and onboarding program; Coverage and support of personal development initiatives (conferences, courses, books etc); Access to StackAdapt programmatic courses and certifications to support continuous learning; An awesome parental leave program; A friendly, welcoming, and supportive culture; Our social and team events