At a Glance
- Tasks: Lead the creation of advanced machine learning algorithms to enhance advertising effectiveness.
- Company: Join StackAdapt, a leading tech company revolutionising marketing with AI.
- Benefits: Enjoy competitive salary, mental health support, and flexible work options.
- Other info: Be part of a diverse, inclusive team with excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: 3+ years experience and a Masters or PhD in a relevant field required.
The predicted salary is between 60000 - 80000 £ 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. We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts.
Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position.
What you'll be doing:
- Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance advertising effectiveness and ROI using deep ML expertise.
- Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems.
- Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.
What you'll bring to the table:
- 3+ years of industry experience.
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps.
- Have a comprehensive understanding of statistics, optimization and machine learning.
- Are proficient in coding, data structures, and algorithms.
- 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!
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.
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.
Senior/Staff Applied Machine Learning Scientist employer: StackAdapt
StackAdapt is an exceptional employer that champions a remote-first culture, offering employees the flexibility to work from anywhere in the UK while being part of a diverse and inclusive team. With competitive salaries, comprehensive health benefits from day one, and robust support for personal development, including access to training and certifications, StackAdapt fosters an environment where innovation thrives and employees can grow their careers meaningfully. The company's commitment to a friendly and collaborative work atmosphere, along with unique perks like birthday leave and optional WeWork memberships, makes it an attractive place for talented individuals seeking impactful roles in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Staff Applied Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at StackAdapt on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning algorithms and coding skills. Practice solving problems on platforms like LeetCode or HackerRank. The more confident you are in your skills, the better you'll perform!
✨Tip Number 3
Showcase your passion for data science! During interviews, share your personal projects or any relevant research you've done. This not only highlights your expertise but also demonstrates your enthusiasm for the field.
✨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 Senior/Staff Applied Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior/Staff Applied Machine Learning Scientist. Highlight your relevant experience, especially in machine learning and coding, and don’t forget to showcase any projects that demonstrate your skills in developing and optimising algorithms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background aligns with StackAdapt’s mission. Be sure to mention specific experiences that relate to the job description.
Showcase Your Problem-Solving Skills:In your application, emphasise your ability to tackle ambiguously defined tasks. Share examples of how you've broken down complex problems into actionable steps, particularly in the context of machine learning or data science.
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 shows you’re keen on joining our team!
How to prepare for a job interview at StackAdapt
✨Know Your Algorithms
Brush up on the latest machine learning algorithms and techniques relevant to advertising effectiveness. Be prepared to discuss how you've applied these in past projects, as well as any innovative methods you've developed or optimised.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to break down complex tasks into actionable steps. Think of examples where you've tackled ambiguous problems and led them to successful outcomes, especially in a collaborative environment.
✨Familiarise Yourself with StackAdapt
Dive deep into StackAdapt's platform and its unique features. Understanding their approach to programmatic advertising and how they leverage AI will help you align your answers with their goals during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company culture. Inquire about their data science team's current challenges or future projects, which will demonstrate your enthusiasm and proactive mindset.
