Machine Learning Engineer, Infrastructure

Machine Learning Engineer, Infrastructure
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Stack Adapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465billion automated optimizations per second, the AI‑powered Stack Adapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward‑thinking marketers choose Stack Adapt to orchestrate high‑impact campaigns across programmatic advertising and marketing channels.
We're looking to add a Machine Learning Engineer, Infrastructure to our Data Science team! This team works on solving complex problems for Stack Adapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO / Co‑Founder on developing big data machine learning infrastructure and pipelines. 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 : / /  / ie / blog / podcasts / aiinaction-ned-dimitrov-stackadapt /
Learn more about our team culture here : https : / /  / careers / data-science
Watch our talk at Amazon Tech Talks : https : / /  / watch?v=lRqu-a4gPuU
Stack Adapt 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 and maintain infrastructure supporting scalable real time data pipelines to handle huge datasets
Develop and support tooling enabling implementation of custom ML algorithms in a low latency environment
Work on infrastructure for running training, inference, monitoring, and deployment on thousands of ML tasks 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
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
Stack Adapt’s Enjoy   Highly competitive salary
Retirement / 401K / Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
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 and hubs in London and Toronto
Robust training and onboarding program   Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to Stack Adapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!  Stack Adapt 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  you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
About Stack Adapt  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
Seniority level
Entry level

Employment type

Full‑time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
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