Applied Machine Learning Scientist

StackAdapt • Unknown • 1m ago

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 campaigns across programmatic advertising and marketing channels.

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. Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ [https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/] Learn more about our team culture here: https://www.stackadapt.com/careers/data-science [https://www.stackadapt.com/careers/data-science] Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU [https://www.youtube.com/watch?v=lRqu-a4gPuU] StackAdapt is a Remote First company, and we are open to candidates located anywhere in Canada for this position.

WHAT YOU'LL BE DOING:

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

WHAT YOU'LL BRING TO THE TABLE:

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 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 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. 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 [https://blog.stackadapt.com/stackadapt-named-ad-ages-best-place-to-work-2024?utm_source=linkedin&utm_medium=organic_social&utm_campaign=ad-ages-best-place-to-work-2024&utm_content=blog] G2 Top Software and Top Marketing and Advertising Product for 2024 [https://blog.stackadapt.com/g2-2024-best-software-awards] Campaign’s Best Places to Work 2023 for the UK [https://blog.stackadapt.com/2023-best-places-to-work-uk] 2024 Best Workplaces for Women [https://blog.stackadapt.com/best-workplaces-for-women-list] and in Canada [https://blog.stackadapt.com/2023-best-workplaces-in-canada-list] by Great Place to Work®