Top Machine Learning Jobs in Berlin

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Senior Product Manager will lead strategy for AI agents at Grammarly, developing product roadmaps, defining success metrics, and collaborating cross-functionally to enhance productivity workflows.

The Applied Research Scientist will develop advanced tools for enhancing written English using NLP, ML, and DL technologies, contributing to product development and research strategy.

As a Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

As a Solutions Engineer, you'll collaborate with the sales team to demonstrate AI solutions to potential customers, conduct demos, and design POCs. You'll manage customer expectations, assist in technical discovery, and facilitate smooth transitions to implementation teams.

The Product Manager will lead the development of consumer discovery products, focusing on Search and Recommendations, driving business value and strategy while collaborating with engineering and data science teams.

As a Senior Backend Engineer, you'll architect and develop backend services, defining technical vision, mentoring, solving complex problems, and integrating ML models.

As a Senior AI Product Manager, you'll shape the vision and strategy for Intercom's AI systems, collaborating with ML scientists and engineers to deliver impactful AI products and improve customer experiences.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

Lead a team of data and machine learning engineers to build MLOps architecture, supporting logistics projects and stakeholder management.

As a Machine Learning Engineer, you will build and optimize AI systems for Dropbox Dash, collaborating across teams to enhance multimedia experiences.

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.

Join the Quick Commerce team as a Data Scientist, focusing on automating product catalog management using ML and AI. Collaborate with engineers and drive experimentation to optimize content enrichment and categorization.

The Director of Product - Platform will lead product teams for Babbel's core platforms, ensuring scalability, technical excellence, and data-driven decision-making.

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

Develop and implement advanced generative AI models, collaborate with cross-functional teams, and innovate existing models for improved performance and speed.

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 Senior Solutions Consultant at Zendesk, you'll drive AI-powered CX solutions, lead technical discovery, architect scalable solutions, and collaborate across teams to enhance customer experiences.

Lead and manage a technical team focusing on applied science, driving development of generative media systems and collaborating with various stakeholders to align strategies and goals.

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

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

As a Staff Machine Learning Scientist, you'll design, implement, and test innovative ML solutions, collaborate cross-functionally, and contribute to product strategy at Zendesk.

The Senior Machine Learning Engineer will design and implement evaluation frameworks for ASR and NLP systems, lead quality improvement efforts, and collaborate across teams to enhance model performance and ensure production readiness.