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Applied Machine Learning Scientist

StackAdapt Germany ; Germany (whole country)
Remote work

Publication date: 30/08/2026

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; 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

Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field; 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

Nice to have

Dual degrees a plus

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!
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