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  • Emplois similaires à : Remote Data Engineer
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Remote Data EngineerGrabJobs • New York, New York, United States
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Remote Data Engineer

GrabJobs
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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À propos

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. Were looking to add Data Engineers to our data science team! This team works on solving complex problems for StackAdapts digital advertising platform. Youll 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, theres 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 located anywhere in the US for this position. \n What youll 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 youll 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 401K 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! \n If this role speaks to you then please apply - wed 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 Weve been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. Weve 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
  • New York, New York, United States

Compétences linguistiques

  • English
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