Top Machine Learning Jobs in Berlin

As a Senior Machine Learning Engineer at Contentful, you will design and implement ML solutions that enhance customer experience. Responsibilities include optimizing generative AI products, integrating ML cloud solutions, and driving ML education within the team. You will work on model development and ensure high-quality outputs for enterprise customers, emphasizing speed and scalability.

The Principal Product Manager will define AI platform product strategy, lead cross-functional product development, and engage with customers to discover insights for scalable, enterprise-focused solutions. This role requires strategic thinking and strong communication skills to ensure alignment across teams and successful product launches.

As a Machine Learning Manager, you will lead a team of 10-15 ML engineers, overseeing the development and deployment of scalable ML solutions, collaborating with data science and backend teams, and managing ML projects to drive business results.

The Machine Learning Research Scientist role at Pfizer focuses on designing and implementing innovative machine learning tools to enhance drug discovery. Responsibilities include developing new approaches to analyze internal and external biomedical data, creating a knowledge graph, and collaborating with an interdisciplinary team to conduct studies and publish findings.

The Strategic Sales Representative will sell SailPoint's IGA Solution Suite to large organizations, focusing on navigating multinational accounts, especially at the C-level. The role involves engaging target customers, managing lengthy sales cycles, and utilizing the Challenger sales methodology to close high-value contracts and develop strong relationships with senior clients and partners.

The Strategic Sales Representative will sell SailPoint's IGA Solution Suite to large organizations, primarily focusing on enterprise security. The role requires navigating multinational accounts and C-level negotiations, utilizing the Challenger sales methodology to engage with 10-12 target customers. Key responsibilities include developing value propositions and closing contracts while maintaining relationships with senior decision-makers.

The Senior Applied Scientist will improve algorithms that match customer preferences with brand offerings, focusing on the impact of ads in a marketplace setting. Responsibilities include econometric modeling, designing digital markets, and implementing research products in collaboration with engineers to drive actionable insights.

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.