Data Engineer

United States

Applications have closed

StackAdapt

StackAdapt is a top-ranking programmatic advertising platform used by the most exceptional digital marketers.

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StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio and in-game 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 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 engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc
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 located anywhere in the US for this position.

What you'll be doing:

  • Design modular and scalable data pipelines to handle huge datasets
  • Understand and implement custom ML algorithms
  • Work on a micro-service architecture that simultaneously implements and monitors thousands of ML models concurrently

What you'll bring to the table:

  • A high GPA from a well-respected Computer Science program (Master's degree or PhD preferred)
  • Have confidence in algorithm design and concurrency
  • Preferably have at least 1 year of job experience (internships count)
  • Interest in designing distributed scalable systems
  • Implementation of probabilistic and machine learning algorithms
  • Algorithms design ability

StackAdapters enjoy:

  • Competitive salary
  • 3 weeks vacation + 3 personal care days + 1 volunteer day + birthdays off
  • Full benefits from day one of employment
  • 401K matching
  • 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 weekly $15 lunch credit via Ritual
  • A friendly, welcoming, and supportive culture
  • Our social and team events!
#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 high performing campaign conversion rates, award-winning customer service, and innovation by numerous industry publications including:
#1 DSP on G2 and leader in the Video and Cross-Channel Advertising CategoriesTop 5 on Ad Age's 2022 Best Places to WorkGreat Place to Work® named StackAdapt as one of Canada’s Best Workplaces for Start-ups in 2021A Top Growing Company in Canada based on the Globe and Mail's 2022 Business ReportNamed a Technology Fast 50™ Program Winner for 2021
#LI-Remote

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Computer Science Data pipelines Engineering Machine Learning ML models PhD Pipelines

Perks/benefits: Career development Competitive pay Conferences Flex vacation Parental leave Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  6  4  0
Category: Engineering Jobs

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