Applied Machine Learning Scientist (Remote)
About the role
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
Responsibilities
- Innovate ML algorithms to maximize ROI and advertising performance, ranging from creating entirely new algorithms to improvements on state-of-the-art methods, to development using a deep understanding of classic methods
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
Requirements
- Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field; dual degrees a plus
- Ability to take an ambiguously defined task and break it down into actionable steps
- Comprehensive understanding of statistics, optimization, and machine learning
- Proficiency in coding, data structures, and algorithms
- Enjoyment of working in a friendly, collaborative environment
Pay
- Canada Base Salary Band: $140,000 CAD – $192,500 CAD
- USA Base Salary Band: $128,000 USD – $176,000 USD
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
- 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
- Social and team events