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- Tasks: Design and implement scalable data pipelines and custom ML algorithms for real-time applications.
- Company: Join StackAdapt, a leading tech company revolutionising digital marketing with AI.
- Benefits: Enjoy competitive salary, health benefits, remote work, and generous paid time off.
- Why this job: Make an impact in a collaborative environment while tackling complex machine learning challenges.
- Qualifications: Strong understanding of algorithms, software design, and experience with ML implementations.
- Other info: Diverse and inclusive culture with excellent career growth and personal development opportunities.
The predicted salary is between 28800 - 48000 £ per year.
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 are 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 will 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 is 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.
Responsibilities:
- 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 will bring to the table:
- Ability to take an ambiguously defined task and break it down into actionable steps
- Deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- A high GPA from a well-respected Computer Science program
- Enjoy working in a friendly, collaborative environment with others
StackAdapt's Enjoy:
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthdays 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 have been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation.
Machine Learning Engineer (Remote) employer: StackAdapt
Contact Detail:
StackAdapt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at StackAdapt on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them during interviews. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for technical challenges! Brush up on your machine learning algorithms and data structures. Practising coding problems can help you ace those technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the StackAdapt team.
We think you need these skills to ace Machine Learning Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience, especially with algorithms and data structures, and don’t forget to mention any projects that showcase your skills in a low latency environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at StackAdapt and how your background aligns with our mission. Be genuine and let your personality come through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can break down ambiguous tasks into actionable steps, so share those experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at StackAdapt
✨Know Your Algorithms
Brush up on your understanding of machine learning algorithms and their applications. Be ready to discuss how you've implemented these in past projects, especially in low latency environments. This will show that you can handle the technical demands of the role.
✨Showcase Problem-Solving Skills
Prepare to talk about how you approach ambiguous tasks. Think of examples where you've broken down complex problems into actionable steps. StackAdapt values candidates who can navigate uncertainty and deliver results.
✨Familiarise with Data Pipelines
Since you'll be designing real-time data pipelines, it’s crucial to understand the principles behind them. Be ready to discuss your experience with modular and scalable architectures, and how you've tackled large datasets in previous roles.
✨Emphasise Collaboration
StackAdapt thrives on teamwork, so highlight your experiences working in collaborative environments. Share examples of how you've worked with cross-functional teams, including data scientists and engineers, to achieve common goals.