Senior/Staff Applied Machine Learning Scientist

🔥 2 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $160k - $220k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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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

• Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI • Own the end-to-end development of production-grade ML models, writing efficient, scalable code and collaborating with Machine Learning Engineers to deploy and integrate algorithms into live systems • Drive prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability • Lead iterative improvements based on data-driven insights

🎯 Requirements

• 3+ years of industry experience • 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! • Annual bonuses, commissions, equity awards, and a comprehensive benefits package may be available depending on the role

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