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 every day. 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 Senior and Staff 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.
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position.
What you'll be doing:
Design modular and scalable real-time data pipelines to handle huge datasets. Suggest, implement, and coordinate architectural improvements for big data ML pipelines. 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:
Ability to take an ambiguously defined task and break it down into actionable steps. Ability to follow through complex projects to completion, both by independent implementation and by coordinating others. Deep understanding of algorithm and software design, concurrency, and data structures. Experience in implementing probabilistic or machine learning algorithms. A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative tech company. Enjoy working in a friendly, collaborative environment with others. 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. 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.
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Design modular and scalable real-time data pipelines to handle huge datasets. Suggest, implement, and coordinate architectural improvements for big data ML pipelines. 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:
Ability to take an ambiguously defined task and break it down into actionable steps. Ability to follow through complex projects to completion, both by independent implementation and by coordinating others. Deep understanding of algorithm and software design, concurrency, and data structures. Experience in implementing probabilistic or machine learning algorithms. A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative tech company. Enjoy working in a friendly, collaborative environment with others. 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. 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.
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