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!

• 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

• 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

• 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

• Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto

• 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

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.

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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