Top Machine Learning Jobs in Berlin

Perform remote, part-time data tasks to improve German AI content, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across audio, video, and images.

The Senior Account Executive drives adoption of AI-based fraud and financial crime solutions, fostering relationships with financial services clients, achieving sales targets, and defining sales strategies in a quota-carrying role.

Own vision and roadmap for agentic AI across Pipedrive CRM. Define customer-facing agent experiences and underlying AI platform capabilities, including orchestration, APIs, safety guardrails, observability, and platform contracts. Partner with engineering, AI/ML, design, security and legal to deliver reliable, scalable, and compliant AI experiences that drive customer value.

Lead the RevTech engineering domain at Flink, overseeing team growth, driving technical excellence, and integrating AI and automation to optimize commercial operations.

Drive commercial adoption of foundation models, engage commercial accounts, support sales cycles, and communicate technical value to clients.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality and consistency in annotation. Responsibilities include evaluating various content types, applying structured criteria, and adhering to project guidelines.

The Applied Science Manager leads a team of scientists and engineers to develop solutions for Ads Personalization, focusing on real-time recommendations. Responsibilities include guiding research, ensuring high-quality project execution, and promoting collaboration across teams.

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

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

Kittl seeks innovative individuals for engineering and product roles. Applicants should show passion for design, ownership, and collaboration. Areas include frontend, backend, full stack, data, and product management.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

As a Senior Machine Learning Scientist, you'll identify ML opportunities, work with teams to research algorithms, conduct data analysis, and prototype solutions for customer value, while applying advanced ML techniques and collaborating with engineers for production deployment.

As a product engineer at Intercom, you will develop technical plans, write Ruby code, collaborate with cross-disciplinary teams, and mentor other engineers while solving customer problems.

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

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting, focusing on agentic workflows, ML/NLP products, and system integration.

The role involves designing AI solutions, managing tools, and advising leadership on AI trends, ensuring data readiness and compliance while driving business impact and ROI.

The role involves enhancing search systems through advanced NLP and IR methods, developing scientific roadmaps, mentoring junior scientists, and applying machine learning solutions for better customer experiences.