At a Glance
- Tasks: Lead the design of data-driven models to optimise campaign performance.
- Company: Join a leading data collaboration platform with a focus on innovation.
- Benefits: Enjoy a competitive salary, stock options, flexible hours, and unlimited paid time off.
- Other info: Be part of a dynamic team with opportunities for growth and influence.
- Why this job: Make a real impact in campaign optimisation while enjoying work-life balance.
- Qualifications: Strong experience in programmatic advertising and applied machine learning required.
The predicted salary is between 180000 - 204000 £ per year.
A leading data collaboration platform is looking for a Staff ML Engineer to optimize campaign performance using data-driven strategies. This role involves designing models across multiple metrics, with hands-on leadership and the freedom to influence product decisions. Strong experience in programmatic advertising and applied machine learning is essential.
The position offers a base salary of £180,000 - £204,000 and includes stock options, flexible hours, and unlimited paid time off.
Staff ML Engineer: Campaign Optimization, Flexible Hours employer: Permutive
Join a pioneering data collaboration platform that champions innovation and flexibility, offering a vibrant work culture where your expertise in machine learning can truly shine. With competitive compensation, including stock options and unlimited paid time off, we prioritise employee well-being and growth, empowering you to make impactful contributions while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Engineer: Campaign Optimization, Flexible Hours
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to campaign optimisation and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in programmatic advertising. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining us. Plus, it shows you're serious about landing that Staff ML Engineer role.
We think you need these skills to ace Staff ML Engineer: Campaign Optimization, Flexible Hours
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data-driven strategies. Share specific examples of how you've used data to optimise campaign performance in the past. This will help us understand your approach and commitment to the role.
Highlight Relevant Experience:Make sure to emphasise your strong experience in programmatic advertising and applied machine learning. We want to know about the projects you've worked on and the impact you've made. Tailor your CV and cover letter to showcase these skills!
Be Authentic:We appreciate authenticity! Don’t be afraid to let your personality shine through in your written application. Share your unique perspective on how you can influence product decisions and contribute to our team culture.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Permutive
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and programmatic advertising. Be ready to discuss specific models you've designed and how they impacted campaign performance. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves hands-on leadership, prepare examples of how you've led projects or teams in the past. Highlight your ability to influence product decisions and collaborate with cross-functional teams. This will demonstrate that you can take charge and drive results.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning algorithms and data analysis. Practice explaining complex concepts in simple terms, as you might need to communicate these ideas to non-technical stakeholders. Being clear and concise is key!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current challenges in campaign optimisation or how they envision the future of their data collaboration platform. This shows you're genuinely interested and engaged.
