Top Machine Learning Jobs in Munich

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

The Senior Software Engineer will develop machine learning models for business objectives, manage data quality, and deploy models while staying updated on NLP advancements.

Execute test cases for ADAS systems, analyze results, collaborate with teams for testing, support vehicle tests, and validate development work.

The Junior Test Engineer will develop and implement test plans, execute test cases, analyze results, and collaborate with development teams to ensure software functionality and identify defects.

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

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Manage and scale the Alpha engineering team, design innovative processes for efficient delivery, drive collaborations, and enhance Proxima's presence in the UK fusion ecosystem.

Proxima Fusion seeks passionate candidates for unsolicited applications to contribute to innovative clean energy solutions and support the development of fusion technology.

Lead research in reinforcement learning and model alignment, mentor scientists, and drive innovations from conception to production deployment.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

The Enterprise Account Executive will drive new client acquisition, develop sales pipelines, and close business deals by partnering with clients and understanding their needs.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The Application Fraud Specialist will identify and mitigate application fraud risks, develop fraud indicators, and collaborate with teams to enhance fraud detection methods across the organization.

As a Senior AI Engineer, you'll focus on ML and LLMs, leading R&D projects, mentoring teams, and improving AI practices.

Join Snke as a Machine Learning Engineer to work on AI-based video solutions for surgical process improvements, focusing on video data analysis and software development.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

The Big Data Engineer will architect and build data infrastructure, develop cloud-based processing pipelines, and ensure code quality for ML projects.

The Research Engineer will design, test, and refine experiments for a 3D foundation model, integrating research findings into production pipelines and collaborating with teams to enhance model performance.

Lead the development and operation of ML lifecycle pipelines, ensuring reliable model deployment, infrastructure management, and data governance. Collaborate with teams to enhance ML practices and tooling.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The Research Scientist will investigate complex research questions using AI, develop innovative solutions, and create evaluations ensuring trustworthy information.

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