Machine Learning Engineer

As a Machine Learning Engineer at Almedia, you will design and implement machine learning models to optimize advertising performance. You’ll collaborate with data scientists to bring these models into production, maintaining stable and scalable solutions. Developing data pipelines, integrating ML into production systems, and monitoring model performance are also key aspects of your role.

Candidates for the Machine Learning Engineer position at Almedia should have experience in building and deploying machine learning models and a solid understanding of programming tools, especially Python and SQL. Familiarity with frameworks like TensorFlow or PyTorch, along with basic data engineering knowledge and exposure to cloud platforms such as AWS or Azure, is essential to succeed in this position.

Almedia is committed to fostering talent and providing a clear path for growth for its Machine Learning Engineers. You will have access to mentorship opportunities, collaborative projects, and the chance to work in a fast-paced environment where your contributions are valued. Additionally, the equity option policy allows you to share in Almedia’s success as the company grows.

At Almedia, the work environment is collaborative and inclusive, emphasizing a culture where every team member’s contributions count. You’ll work in a modern office in Berlin that encourages flexibility and promotes a healthy work-life balance through policies like remote work options, allowing you to excel both personally and professionally.

Almedia values diversity and actively encourages individuals from all backgrounds to apply for the Machine Learning Engineer role. The company is committed to creating an inclusive culture where everyone feels respected and valued, embracing diverse perspectives as a strength for innovation and creativity.

When answering this question, focus on your specific contributions to the project, the technologies you used, and the impact of the project. Highlight your problem-solving skills and how you collaborated with others, particularly if you coordinated with data scientists or engineers.

It's beneficial to discuss TensorFlow, PyTorch, or any other frameworks you've used. Explain your experience with each and how they contributed to project success. Share specific examples of how you've utilized these frameworks in real-world applications.

Discuss the importance of code modularity and proper documentation. Explain how you leverage best practices in version control, testing, and collaboration to maintain model scalability and the techniques you employ for monitoring performance post-deployment.

Detail your methodology for constructing data pipelines, including data collection, cleaning, transformation, and storage. Emphasize how you ensure data quality and availability for training models, and mention any tools or technologies you have utilized.

Provide insights on the metrics and tools you use to measure model performance. Discuss the importance of analyzing real-world data and how you adjust your models based on performance feedback for continual improvement.

Focus on your ability to simplify complex topics and use relatable analogies. Describe instances where you successfully conveyed technical information to non-technical team members, ensuring alignment and collaboration on projects.

Discuss specific challenges—like data scarcity or model overfitting—and how you navigated those hurdles. Highlight your analytical and troubleshooting skills, along with the outcomes of your solutions.

Articulate your vision on emerging trends, ethical considerations, and the transformative impact of machine learning on advertising. Provide examples of how you see ML influencing targeting, personalization, and campaign effectiveness.

Share your experience with cloud platforms (AWS, GCP, Azure) and the services relevant to machine learning. Discuss any projects where you utilized cloud services for scalability or collaborative data processing.

Express your enthusiasm for Almedia's mission and how the role aligns with your career goals. Mention what excites you about the Ad-Tech space and how your skills and interests make you a great fit for the company.