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StackAdapt
StackAdapt is a self-serve advertising platform seeking Data Engineers to join their data science team. The role involves designing scalable data pipelines, implementing ML algorithms, and working on microservice architectures for ad optimization models. Benefits include competitive salary with equity, RRSP matching, comprehensive health benefits, work from home reimbursements, training programs, mentorship, and a supportive culture. StackAdapt is remote-first and open to global candidates.
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.
We're looking to add Data Engineers 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, data engineers, Engineering team, and CTO on building pipelines and ad optimization models. 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 modular and scalable real time data pipelines to handle huge datasets
Understand and implement custom ML algorithms in a low latency environment
Work on microservice architectures that run training, inference, and monitoring on thousands of ML models 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
Experience in implementing probabilistic or machine learning algorithms
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
StackAdapters enjoy:
Competitive salary + equity
RRSP matching
3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays 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, etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
Mentorship opportunities with industry leaders
An awesome parental leave policy
A friendly, welcoming, and supportive culture
Our social and team events!
If this role speaks to you then please apply - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted.
#LI-KR1
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
