Top Machine Learning Jobs in Berlin

As a Software Engineer, you will build and enhance ML platforms, improve reliability, implement security practices, and boost developer productivity while collaborating with teams.

As a Senior Data Scientist, you will develop and optimize data-driven products, analyze large datasets, and collaborate on machine learning infrastructure to enhance user experiences.

Lead the development of a unified discovery engine, managing a team of product managers to enhance search and recommendation systems, while driving commercial impact and stakeholder alignment.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As a Senior Infrastructure Engineer, you'll deploy, scale, and maintain services for the ML/AI team, impacting platform modernization and infrastructure architecture decisions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

The role involves building and maintaining scalable ML infrastructure for logistics optimization, collaborating with teams to enhance workflows, and leveraging cloud technologies to improve efficiency.

Join Motius' tech community as a freelancer, working on R&D projects in diverse tech fields like Software Engineering and Machine Learning.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

The AI Research Scientist will conduct research to develop new ML models, lead projects, and explore data sources while collaborating with a global team.

Lead the design and deployment of advanced ML/AI models for customer service, mentor teams, and drive research vision at Zendesk.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The Machine Learning Research Engineer will enhance search technologies through model optimization, architecture building, data collaboration, and advanced research in AI, focusing on retrieval and ranking.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The Technical Writer will create customer-facing documentation, collaborate with teams to improve user experience, and establish writing best practices.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

You will ensure the reliability and efficiency of ML models, design evaluation systems, and drive performance improvements while collaborating closely with ML researchers.

Lead the design of machine learning systems, mentor engineers, and ensure reliable data processing in a SaaS environment while driving operational excellence.