Wiraa
ML Scientist
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
StackAdapt is a 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. Recognized for its innovation, diversity, and supportive workplace culture, StackAdapt has received numerous awards including G2 Top Software for 2026 and Best Workplaces™ for Young Talent in Canada by Great Place to Work®. The company is committed to fostering an inclusive environment and offers a range of benefits to support its employees’ growth and well-being.
About The Role
We are seeking a talented Applied Machine Learning Scientist to join our engineering team as we expand our data science efforts. In this role, you will be instrumental in developing and innovating machine learning algorithms to maximize return on investment and advertising performance. You will work closely with cross-functional teams, including data engineers and product managers, to implement novel algorithms, prototype solutions, and optimize pipelines based on insights derived from historical data. This position offers the opportunity to work on high-scale, real-time decision-making systems that connect thousands of publishers and advertisers worldwide. As a remote-first company, StackAdapt welcomes candidates from the UK, Ireland, and Germany, providing a flexible and inclusive work environment.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- A Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field (dual degrees are a plus)
- Strong understanding of statistics, optimization, and machine learning principles
- Proficiency in coding, data structures, and algorithms
- Experience in developing and deploying production-level machine learning models
- Ability to analyze ambiguous problems and break them down into actionable steps
- Excellent collaboration skills and a friendly, team-oriented mindset
- Familiarity with modern ML frameworks and programming languages such as Python, Java, or Scala
- Experience working with large-scale, real-time data systems is a plus
Responsibilities
- Innovate and develop machine learning algorithms aimed at maximizing ROI and advertising effectiveness
- Create new algorithms or improve existing state-of-the-art methods to solve complex problems
- Collaborate with Data Engineers to implement production-ready ML solutions
- Prototype algorithms and data pipelines, test them using historical data, and iterate based on insights
- Optimize and scale ML models for deployment in high-volume, real-time environments
- Continuously monitor and refine models to adapt to changing data and business needs
- Document methodologies and share findings with cross-functional teams to inform product strategies
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Highly competitive salary aligned with market standards
- Retirement, 401K, or pension savings plans
- Generous paid time off, including birthdays off
- Access to comprehensive mental health care programs
- Health benefits effective from day one of employment
- Work from home reimbursements and flexible working arrangements
- Optional global WeWork membership and access to hubs in London and Toronto
- Robust onboarding and continuous training programs
- Support for personal development initiatives such as conferences, courses, and certifications
- Parental leave programs and family-friendly policies
- A friendly, inclusive, and collaborative company culture
- Regular social and team-building events
Equal Opportunity
StackAdapt is committed to creating a diverse and inclusive environment. We welcome individuals of all backgrounds, identities, and abilities to apply. Our hiring practices are designed to promote equity and ensure that everyone has equal access to opportunities. We do not discriminate based on race, ethnicity, gender, sexual orientation, disability, religion, or any other characteristic protected by law. If you require accommodations during the recruitment process, please let our Talent team know. We believe that a diverse workforce fosters innovation and drives our success, and we are dedicated to supporting all employees throughout their journey with us.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location