Applied Machine Learning Scientist

🕒 August 10

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $128k - $176k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 39%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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StackAdapt

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

📣 Marketing

☁️ SaaS

📱 Media

💰 $235M Private Equity Round - StackAdapt on 2025-02

Marketing • SaaS • Media

StackAdapt is an AI-powered programmatic marketing platform and demand-side platform (DSP) that helps advertisers, agencies, and brands plan, execute, and optimize multi-channel digital advertising campaigns. The platform uses machine learning and first‑party data to provide advanced audience targeting, contextual and location-based targeting, creative optimization, and real-time campaign analytics across channels like connected TV, display, native, video, audio, in-game, digital out-of-home, and email. StackAdapt offers enterprise-grade solutions, client services, an API, and tools for creatives and reporting to support full-funnel advertising at scale.

📋 Description

• Innovate ML algorithms to maximize ROI and advertising performance, including creating new algorithms, improving state-of-the-art methods, and developing through a deep understanding of classic methods • Write production code, sometimes collaborating with Data Engineers, to implement novel ML algorithms • Prototype potential algorithms and pipelines, test them using historical data, and iterate based on insights

🎯 Requirements

• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. • Have the ability to take an ambiguously defined task, and break it down into actionable steps • Have a comprehensive understanding of statistics, optimization and machine learning • Are proficient in coding, data structures, and algorithms • 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!