Applied Machine Learning Scientist

About StackAdapt

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 platform is connected to thousands of publishers and advertisers worldwide and processes millions of requests each second, making billions of decisions.

StackAdapt is a Remote First company, open to candidates located anywhere in the UK, Ireland and Germany for this position.

About the Role

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts.

Responsibilities

• Innovate ML algorithms to maximize ROI and advertising performance, ranging from creating entirely new algorithms to improvements on state-of-the-art methods to development using a deep understanding of classic methods
• Write production code, sometimes collaborating with Data Engineers, to implement novel ML algorithms
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

Requirements

• Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field (dual degrees a plus)
• Ability to take an ambiguously defined task and break it down into actionable steps
• Comprehensive understanding of statistics, optimization and machine learning
• Proficiency in coding, data structures, and algorithms
• Enjoy working in a friendly, collaborative environment with others

Compensation

Base Salary Band: £82,125—£112,922 GBP

The compensation range listed reflects the expected base salary for candidates located in the posting country based on a global rate. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate's current location.

Final compensation will be determined by factors including the candidate's specific experience, technical skills, knowledge, abilities, relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Benefits and Perks

• 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
• Social and team events

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

About Our Culture

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals. 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.

Awards and Recognition

• G2 Top Software for 2026
• 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
• #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

Note on Our Hiring Process

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.