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- Aufgaben: Join our Data Science team to build and optimize machine learning algorithms for programmatic advertising.
- Arbeitgeber: Radancy Programmatic specializes in performance advertising, helping companies hire the best talent.
- Mitarbeitervorteile: Enjoy a supportive environment, health insurance, and opportunities for salary growth based on experience.
- Warum dieser Job: Work on impactful projects with cutting-edge technologies like NLP and LLMs in a collaborative setting.
- Gewünschte Qualifikationen: 2+ years as a Machine Learning Engineer; strong Python skills and AWS experience required.
- Andere Informationen: Salary starts at EUR 3,175.00, with potential for higher based on qualifications.
Deliver technology that empowers careers and strengthens companies.
Build strategies that drive the success of our SaaS talent acquisition platform for the world’s largest global companies.
Tech that leads the industry. Careers that transform it.
Create the future of how candidates and companies connect with our industry-leading SaaS platform, data and expertise.
Build the most advanced talent acquisition platform.
Solve complex problems with scalable, state-of-the-art software solutions that help companies find talent on a global scale.
At Radancy, our cloud-based talent acquisition software platform sets us apart, the innovative work we do impacts the future success of companies around the world. Supported by our people who continuously push boundaries, innovate and advance our scalable technology with state-of-the-art, go-to-market solutions, we’re committed to delivering results to our customers and our employees.
Our data-driven Radancy Talent Acquisition Cloud enables customers to optimize their talent acquisition, supported by subject matter experts committed to redefining the industry.
Our Teams
From Engineering to Data to UX, we offer a variety of career areas for you to make an impact on our software platform and your future.
Supported by our state-of-the-art tech stack, you’ll collaborate to build our go-to-market products from concept to launch while transforming our scalable, SaaS platform.
The People Behind Our Platform
Transforming an industry with our software solutions and working with innovative teams are just a couple of the reasons why our employees enjoy working at Radancy.
Join a culture of innovation and collaboration that’s driving an industry.
The first step to working with the global leader in talent technology starts here.
Our forward-thinking culture and tech are built by diverse talent working together.
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Machine Learning Engineer Arbeitgeber: Radancy
Kontaktperson:
Radancy HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with AWS and the specific tools we use, like Docker and Kubernetes. Having hands-on experience with these technologies will not only boost your confidence but also show us that you're ready to hit the ground running.
✨Tip Number 2
Brush up on your Python skills, especially for data-intensive tasks. We value efficient and maintainable code, so being able to demonstrate your coding prowess in Python will definitely set you apart from other candidates.
✨Tip Number 3
Showcase any previous projects involving bid optimization or budget allocation. If you can share specific examples of how you've applied machine learning in real-world scenarios, it will highlight your relevant experience and problem-solving abilities.
✨Tip Number 4
Emphasize your collaborative skills and experience working in cross-functional teams. We’re looking for a team player who thrives in a dynamic environment, so sharing stories about successful collaborations will resonate well with us.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position. Highlight key responsibilities and required skills, such as experience with AWS, Python programming, and knowledge of NLP.
Tailor Your CV: Customize your CV to reflect relevant experience and skills that align with the job requirements. Emphasize your hands-on experience with machine learning projects, particularly in areas like bid optimization and model performance optimization.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and problem-solving. Mention specific projects or experiences that demonstrate your ability to work collaboratively in cross-functional teams and your understanding of MLOps.
Highlight Relevant Projects: In your application, include details about past projects that relate to the responsibilities listed in the job description. Discuss your role in deploying algorithms, troubleshooting issues, and optimizing model performance to show your practical experience.
Wie du dich auf ein Vorstellungsgespräch bei Radancy vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AWS, Docker, and Kubernetes. Highlight specific projects where you implemented machine learning algorithms or optimized models, as this will demonstrate your technical proficiency.
✨Understand the Role of Collaboration
Emphasize your ability to work in cross-functional teams. Share examples of how you've collaborated with data scientists, product managers, or software engineers in past projects, as teamwork is crucial for success in this role.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss complex system issues you've debugged in the past. Use specific examples to illustrate your proactive approach to problem-solving and how you’ve implemented long-term solutions to mitigate model concept drift.
✨Familiarize Yourself with AdTech
If you have experience in AdTech, be sure to mention it. If not, do some research on the industry and be ready to discuss how machine learning can impact performance advertising, particularly in areas like bid optimization and budget allocation.
