Top Machine Learning Jobs in Berlin

Sell Zscaler Zero Trust Branch solutions across DACH, owning regional quota, building account-based strategies, partnering with solution engineers, engaging C-suite and technical stakeholders to close complex deals for SD-WAN, data security, and advanced network products.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Extract, curate, and ensure high-quality structured and unstructured oncology clinical data from EHRs. Develop and update curation instructions and capture forms, support QA processes, pilot new extraction approaches, contribute insights to product and ML/LLM-enabled curation, and collaborate with cross-functional teams to maintain and deliver high-quality datasets for research.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.

Design, build, and productionize machine learning solutions on AWS. Work end-to-end from data exploration, feature engineering, modeling, and evaluation to packaging, deploying, monitoring, and iterating models (including LLM/GenAI workflows). Collaborate with engineers, product partners, and data scientists to deliver reliable, reproducible ML systems and move prototypes into scalable production.

Lead individual-contributor role to design and build production-grade LLM-based agents, RAG pipelines, and integrations with HERE location/routing APIs. Own end-to-end system design, prototyping, deployment, scalability, and reliability while collaborating with product and domain experts to optimize logistics solutions.

Develop and validate analytical solutions for the Revenue Management system, build forecasting and pricing models, monitor system outputs and user interventions, drive stakeholder adoption, and use AI/ML tools to improve revenue optimization and commercial decision-making.

Design and build scalable, low-latency backend APIs and product-stream ranking systems using typed languages. Integrate with data platforms and BI, manage large datasets, collaborate with engineers, PMs, and data scientists, and contribute to new features and technical improvements.

Lead the Affordability domain for Quick Commerce: define vision and roadmap, deliver item-level promotions and pricing solutions, align global stakeholders, partner with engineering and data science, run experiments, and measure impact on conversion, AOV, and retention.

Design and implement algorithms and probabilistic models for array and NGS genotyping. Develop production-grade bioinformatics software and scalable workflows, apply statistical and machine learning methods to large genomic datasets, and maintain testing automation, CI/CD, observability, and software lifecycle practices. Collaborate with wet‑lab scientists and engineers; provide mentorship at staff level.

Work directly with founders on end-to-end high-priority projects: run customer pilots and field deployments, assemble and install sensor/compute hardware, perform data analysis and market/unit-economics modeling, build investor/customer materials, and create internal tooling and automations across engineering, commercial, and operations.

Lead neuroscience R&D for EEG-based BCI: develop signal-processing and classification algorithms, design/execute human-subject experiments, integrate neural data with hardware/software, validate and ensure regulatory and ethical compliance, and mentor junior researchers.

Lead and manage a team of solution architects and consultants to design and deliver AI-driven digital transformation programs across Germany and Austria. Provide architectural direction for AI, data platforms, analytics, IoT, and application modernization; ensure secure-by-design and cloud security practices; coach and grow the team; and support strategic customer engagements and delivery execution.

Lead the ML product roadmap for speech and NLP, convert customer feedback into prioritized ML work, define model evaluation gating, partner with engineering leads to ship production improvements, and own ML product KPIs to drive measurable user impact.

Develop and productionize risk and causal-inference ML models for fraud and credit, handling full ML lifecycle: data analysis, model development, deployment, monitoring, and scalable pipelines while collaborating across teams to drive business impact.

Own and scale end-to-end forecasting and price-elasticity models for the pricing engine. Build, deploy, and monitor models; design pricing experiments and A/B tests; generate commercial insights; partner with stakeholders to drive strategy; and establish analytics and experimentation best practices.

Design and build a scalable data layer for an AI-powered SAP consulting system. Own metadata architecture, develop pipelines ingesting SAP telemetry and consulting insights, and collaborate with AI/ML teams to provide high-quality signals for training and inference while ensuring data integrity, versioning, and long-term scalability.

Design and build a scalable data layer mapping relationships across SAP projects, own metadata architecture and data labeling, develop pipelines for SAP telemetry and consulting insights, collaborate with AI/ML teams to supply training/inference signals, and ensure data integrity and long-term scalable architecture.

As Product Manager for Electronic Warfare, lead product work across capabilities, engaging with users to define requirements and manage the product lifecycle in complex environments.

The role involves leading research in bidding algorithms, optimizing marketplace dynamics, and mentoring a team, requiring a PhD and over 10 years of experience in machine learning and ad tech.

Lead product development of Zalando's pricing platform by defining vision, prioritizing problems, and driving delivery with engineering, operations research, and data science teams. Build forecasting and optimization infrastructure to recommend prices across hundreds of thousands of items, communicate complex quantitative topics to stakeholders, and measure commercial impact.

Lead research, design, and production implementation of algorithms and predictive models for warehouse scheduling, planning, and routing. Deliver end-to-end solutions from prototyping to highly available production systems, influence R&D methodology, and mentor other applied scientists.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

Lead Backend Engineer responsible for building scalable, low-latency APIs and data-driven systems for Search, Recommendations, and Ranking. Design and optimize search/recommendation algorithms (including NLP), manage large data volumes with BigQuery/MPP warehouses, collaborate with data scientists, and drive architecture and feature delivery using Node.js/TypeScript.