Senior/Staff Applied Machine Learning Scientist

Senior/Staff Applied Machine Learning Scientist 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 programs across programmatic advertising and marketing channels. We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform connects to thousands of publishers and advertisers worldwide, handling millions of requests each second and making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a remote‑first company, and we are open to candidates located anywhere in the US or Canada. What You’ll Be Doing Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance advertising effectiveness and ROI. Own the end‑to‑end development of production‑grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems. Drive the 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. What You’ll Bring To The Table 3+ years of industry experience. Masters 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. 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 platform. 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. 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. Friendly, welcoming, and supportive culture. Our social and team events. Seniority level Mid‑Senior level Employment type Full‑time Job function Other Industries Technology, Information and Internet About StackAdapt We’ve been recognized for our diverse and supportive workplace, high‑performing campaigns, award‑winning customer service, and innovation. We’ve been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign’s Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work® #1 DSP on G2 and leader in a number of categories including Cross‑Channel Advertising StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals. No matter who you are, where you are from, who you love, we believe in a culture that values diversity and inclusion. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. #J-18808-Ljbffr