Job Application for Machine Learning Engineer, Infrastructure at StackAdapt

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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're looking to add a Machine Learning Engineer, Infrastructure to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on developing big data machine learning infrastructure and pipelines. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

Learn more about our team culture here: https://www.stackadapt.com/careers/data-science

Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, and we are open to candidates in various of our operating locations throughout the globe!

What you'll be doing:

Design and maintain infrastructure supporting scalable real time data pipelines to handle huge datasets
Develop and support tooling enabling implementation of custom ML algorithms in a low latency environment
Work on infrastructure for running training, inference, monitoring, and deployment on thousands of ML tasks concurrently

What you'll bring to the table:

Have the ability to take an ambiguously defined task, and break it down into actionable steps
Have deep understanding of algorithm and software design, concurrency, and data structures
Interest in designing scalable distributed systems
A high GPA from a well-respected Computer Science program
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.

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

#LI-REMOTE

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Here at StackAdapt, we strive to break down barriers so everyone can thrive. We are a global company and we must reflect the diverse world we work in. We are committed to building an inclusive workforce that fully represents the many different cultures, backgrounds and viewpoints of our employees, our customers and our communities.

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Machine Learning Engineer, Infrastructure

What you'll be doing:

What you'll bring to the table:

StackAdapter's Enjoy:

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Demographic Survey for StackAdapt