StackAdapt - Applied Machine Learning Scientist

Remote - Canada6mo ago

Remote NA Mental Health Artificial Intelligence Machine Learning Engineer Product Marketing

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 • StackAdapter's Enjoy: • 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! • StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. • We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. • 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 • To learn more about our privacy practices, please see our Privacy Policy.

Responsibilities

• Innovate ML algorithms to maximize ROI and advertising performance. This ranges 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

Benefits

• 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! • StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. • We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.