Machine Learning Engineer (Remote)

Company : Stackadapt

Job Type : Full Time

Remote / Work from Home

Number of Applicants

000+

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Job Description - Machine Learning Engineer (Remote)

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We're looking to add a Machine Learning Engineer 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, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder 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 with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany.

This role will remain open until February 27, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.

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

What you'll 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 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

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

StackAdapter'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 StackAdapt programmatic courses and certifications to support continuous learning

An awesome parental leave program

A friendly, welcoming, and supportive culture

Our social and team events!

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.

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 StackAdapt

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

To learn more about our privacy practices, please see our .

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Original job Machine Learning Engineer (Remote) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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