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 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.Want to learn more about our Data Science Team : Learn more about our team culture here : Watch our talk at Amazon Tech Talks : StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America 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 :
Have the ability to take an ambiguously defined task, and break it down into actionable stepsAbility to follow through complex projects to completion, both by independent implementation and by coordinating othersHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsExperience in designing scalable distributed systemsA high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech companyEnjoy working in a friendly, collaborative environment with othersStackAdapters enjoy :
Competitive salary + equityRRSP matching3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays offAccess to a comprehensive mental health care platformHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home officeRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, etc)Access to StackAdapt programmatic courses and certifications to support continuous learningMentorship opportunities with industry leadersAn awesome parental leave policyA friendly, welcoming, and supportive cultureOur 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. and by Great Place to Work®#LI-Remote