Top Machine Learning Jobs in Berlin

The Principal Engineer will develop automotive technology stack, collaborate with teams, and ensure effective software integration of vehicle data with maps.

The role involves driving execution of complex technical programs, aligning teams, establishing best practices, and championing rapid experimentation within AI agent development.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Join the TES team to support Solution Engineering by delivering complex technical use cases, assisting with PoV engagements, and gaining experience with identity security and SaaS technologies.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Develop and validate ML models for clinical research, collaborating with stakeholders to extract insights from unstructured medical data.

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 Data Scientist, you'll design and deploy ML models to automate content creation and optimize product categorization, driving growth in a fast-paced environment.

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.

As a Senior Applied Scientist, you will develop deep learning models to enhance customer size and fit recommendations, collaborate with cross-functional teams, and contribute to scientific research.

As a Senior Data Scientist, you will design and implement personalized ranking systems and causal inference models to enhance customer experience and drive business growth in quick commerce.

As a Senior Applied Scientist, you will develop AI solutions for ad recommendations, mentoring juniors and leading projects integrating machine learning and deep learning technologies.

As a Datacloud and Agentforce Solutions Architect, you will support the sales cycle by designing POCs, advising technical stakeholders, and driving innovation in data and AI solutions.

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

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

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.

Lead data annotation projects supporting speech AI, ensuring high quality and consistency in data delivery while collaborating with multiple teams.

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 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.

The Senior AI Engineer will develop AI features, fine-tune models, integrate LLMs, and mentor team members, influencing corporate responsibility through technology.

As a Data Science Team Lead, manage a team of 7 data scientists, drive technical excellence, mentor staff, and enhance ML project delivery while ensuring alignment with organizational goals.