Senior Robotics and Machine Learning Engineer at Quantum Systems | Gilching, Bayern, Germany

Quantum-SystemsGilching, Bayern, Germany

On-site Full-time

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Senior

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Your Day-to-Day Responsibilities:Lead the design and implementation of object detection, tracking, and pose estimation solutions for precise drone control. Integrate multi-sensor setups to enhance autonomous drone port functionality, ensuring seamless interaction between hardware and software. Develop software that processes data from various sensors, including cameras, LiDAR, and GPS. Implement advanced robotics control strategies for drone operations. Ensure the development of a robust software platform, integrating with user interface systems. Conduct thorough testing and validation of software systems before market deployment. Collaborate with multidisciplinary teams, including hardware specialists and engineers. Work closely with teams focused on drone platforms and mission control software for seamless integration.

About the job

In this role, you will collaborate closely with cross-functional teams across software, hardware, and aeronautical engineering to design comprehensive end-to-end solutions. Your responsibilities will include selecting suitable hardware components and developing robust software to process sensor data, enabling real-time decision-making and control. Your contributions will help position Quantum Systems as a leader in aerial data collection solutions with our state-of-the-art unmanned aerial systems (sUAV).

About Quantum-Systems

Quantum Systems is at the forefront of drone technology, specializing in unmanned aerial systems that provide unparalleled aerial data collection solutions. Our commitment to innovation and excellence drives our teams as we strive to redefine the possibilities in drone automation and operation.

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Engineering Manager - Machine Learning & Voice Technology

Rasa Technologies GmbH

Full-time|Remote|Remote - Germany

Take the lead in shaping the future of conversation.Join Rasa and innovate!At Rasa, we believe that conversation is the essence of connection. It allows us to foster relationships with empathy and understanding, bridging differences and uniting diverse backgrounds.Rasa symbolizes unity and clarity. We challenge norms and seek answers through relentless innov…

Jan 26, 2026

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Machine Learning Engineer

Orcrist Technologies

Full-time|Remote|Remote

Company Overview At Orcrist Technologies, we are pioneering the future of data intelligence with our Orcrist Intelligence Platform (OIP). This secure, Kubernetes-native system is designed for deployment as Software as a Service (SaaS) or can be self-hosted/on-premises, accommodating even air-gapped missions. Our mission is to seamlessly integrate data processing, machine learning, and user-centric design for defense, law enforcement, and corporate teams. Role Overview As a Machine Learning Engineer, you will be instrumental in productionizing NLP, audio, and document models that enhance the insight experiences provided by OIP. You will take full ownership of model packaging, deployment, monitoring, and evaluation, collaborating closely with research and product teams to ensure the delivery of reliable insights globally. Your Responsibilities Package and deploy various models (ASR, translation, OCR, NER, summarization) utilizing Triton/KServe on Kubernetes. Develop evaluation pipelines (WER, BLEU, F1, latency, cost) and automate release gating processes. Manage streaming and batch inference through Kafka, Temporal, and backfill tooling. Monitor model performance and quality using Prometheus, Grafana, and Evidently; optimize inference costs and performance metrics. Collaborate with TypeScript teams to design payload schemas, contracts, and establish human-in-the-loop feedback mechanisms. Qualifications 4 to 8+ years of experience in ML engineering or MLOps, with a proven track record of deploying models to production. Proficiency in Python and frameworks such as PyTorch/Transformers, along with experience using Triton/KServe or similar technologies. Familiarity with Kubernetes, GitOps, CI/CD practices, and GPU workload management. Strong understanding of evaluation metrics, monitoring techniques, and annotation workflows. Eligibility to work in Germany; export-control screening may be required for certain projects. Preferred Qualifications Experience with Temporal, Beam/Flink, or Ray Serve; familiarity with ONNX/TensorRT optimization. Proficiency in the German language (B1+) and experience with defense or public safety datasets. Knowledge of WhisperX, DeepStream/GStreamer, or vector search integrations. What We Offer A modern MLOps stack including Triton, Temporal, Kafka, MLflow, Weights & Biases, Evidently, and Kubernetes. A remote-first work environment in Germany, with regular meetups in Berlin, 30 days of vacation, and a budget for equipment and learning.

Jan 13, 2026

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Machine Learning Engineer

Orcrist Technologies

Full-time|Remote|Remote / Berlin

Machine Learning Engineer Company Overview At Orcrist Technologies, we are pioneers in building the Orcrist Intelligence Platform (OIP), a cutting-edge Kubernetes-based data intelligence system. Our platform is offered as either SaaS or a self-hosted/on-premises solution, including air-gapped deployments. We integrate data processing, machine learning, and artificial intelligence within a modern web application to empower mission-critical clients across both public and private sectors. Role Overview As a Machine Learning Engineer, you will spearhead the incubation and validation of new ML initiatives from conception to execution. In this innovative role, you will create adoption-ready prototype vertical slices that encompass data flows, model serving, evaluation, and seamless product integration. You will ensure clear handoff of artifacts to delivery teams so they can effectively productize and maintain them for the long haul. Key Responsibilities Develop ML prototype vertical slices that bridge data ingestion and processing with inference and end-user product outcomes (such as search functionalities, insights generation, and user experience flows). Establish evaluation harnesses and decision-making artifacts including datasets, baselines, and performance metrics (quality, latency, cost), along with actionable go/no-go recommendations. Package prototypes for seamless adoption: containerize services, specify reproducible deployment strategies, and create comprehensive runbooks/checklists. Collaborate with Research and Data Engineering teams for dataset curation, annotation processes, experiment tracking, and iterative improvements. Ensure operational credibility of prototypes through instrumentation, monitoring, and foundational security/compliance practices (including handling of personally identifiable information and provenance considerations). Candidate Profile A minimum of 3 years of experience in ML engineering or MLOps, with a proven track record of delivering tangible systems. Proficient in Python and experienced with PyTorch/Transformers; adept at transforming models from notebooks into deployable services. Hands-on experience with Kubernetes and containerization; capable of deploying and troubleshooting within production-like environments, including offline or air-gapped constraints. A strong evaluation mindset and monitoring discipline; effective in clearly articulating trade-offs. Eligibility to work in Germany; EU or NATO citizenship is preferred, and export-control screening applies. Preferred Qualifications Experience with GPU serving and optimization techniques (e.g., Triton/KServe, ONNX/TensorRT, batching, quantization). Familiarity with streaming and pipeline tools (e.g., Kafka, Ray, Beam/Flink/Spark) and integrations involving search, vector, and graph technologies. Proficiency in the German language (B1+) and/or experience working with regulated or public-sector datasets and workflows. What We Offer A modern ML stack designed to operate within real-world constraints: Kubernetes, streaming technologies, and hybrid/on-prem/air-gapped deployments. A remote-first work environment in Germany, complemented by regular workshops in Berlin, 30 days of vacation, and support for equipment and learning budgets. High impact: your prototypes will pave the path for groundbreaking solutions.

Jan 5, 2026

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Machine Learning Research Engineer at Perplexity | Berlin

Perplexity

Full-time|On-site|Berlin

Join Perplexity as a skilled Machine Learning Research Engineer, where you will play a pivotal role in developing cutting-edge search technologies focusing on retrieval and ranking mechanisms.Key Responsibilities:Proactively enhance search quality through innovative models, data strategies, tools, and other effective means.Design and construct essential components of our advanced search platform and model architecture.Create, train, and fine-tune large-scale deep learning models utilizing frameworks like PyTorch, with an emphasis on distributed training and hardware acceleration for retrieval and ranking.Engage in advanced research on representation learning, including contrastive learning and multilingual, multimodal modeling tailored for search and retrieval applications.Implement and deploy models effectively, ranging from boosting algorithms to large language models, ensuring scalability and performance.Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for accurate grounding and answer generation.Collaborate across Data, AI, Infrastructure, and Product teams to ensure swift and high-quality project delivery.

Apr 3, 2026

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Machine Learning Engineer at Almedia | Berlin

Almedia

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Join Almedia, a dynamic and innovative company where ambition meets opportunity. As we strive to become Germany’s next bootstrapped unicorn, we are proud to be recognized as Europe’s third fastest-growing company in 2025 according to the FT1000.At Almedia, we are revolutionizing the marketing landscape by enabling our vast community of over 60 million users to earn rewards for interacting with our advertisers' products, providing a unique approach to user acquisition for major global brands.Machine Learning EngineerIn this pivotal role, you will be responsible for the design, development, and scaling of production-grade machine learning solutions that drive the innovation of Almedia’s offerings and support our growth trajectory.This is a hands-on position where you will actively engage in coding, development, and deployment of solutions.Key Challenges You Will Tackle:Creating and optimizing user reward systems tailored to player behavior and market trends.Spearheading the development of personalized, real-time reward mechanisms.Identifying and addressing underperforming reward initiatives and their underlying issues.Your Responsibilities Include:Overseeing the complete delivery lifecycle: develop, deploy, and optimize scalable solutions and services.Providing technical guidance on ML projects, upholding best practices and ensuring high coding standards.Aligning technical capabilities with business goals to capitalize on high-value opportunities.Utilizing advanced statistical and causal inference techniques to secure robustness and reliability in solutions.Collaborating with product and engineering teams to convert business challenges into predictive, data-driven solutions.Qualifications Required:Demonstrated expertise in building, deploying, and maintaining production-level solutions and services, preferably in adtech or high-scale environments.Solid understanding of statistical analysis (A/B testing, regression, probability).Proficient in programming with Python and SQL, with practical experience in cloud technologies.Proven ability to mentor and guide ML engineers and cross-functional colleagues.Excellent communication skills and a collaborative mindset.

Dec 9, 2025

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Knowlix

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Dec 2, 2025

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Mar 22, 2026

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Machine Learning Engineer III, Routing Cost

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Dec 2, 2025

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(Senior) Machine Learning Engineer – Video AI

Brainlab

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Role Overview Brainlab is seeking a Senior Machine Learning Engineer focused on Video AI to join the team in Munich. This position centers on improving video processing for medical imaging and patient care. The work combines machine learning and computer vision to advance healthcare technology. What You Will Do Develop, test, and deploy machine learning models for video analysis in medical applications Work closely with cross-functional teams to integrate new solutions into Brainlab’s products Contribute technical expertise to projects that improve the quality and efficiency of healthcare tools Impact Efforts in this role will shape Brainlab’s video AI capabilities, with a direct effect on the performance of medical imaging systems and patient outcomes. Collaboration across teams ensures solutions remain technologically advanced and clinically relevant.

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Mar 2, 2026

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Toloka AI

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Engineering Manager - Machine Learning (m/f/d)

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About UsHelsing is a cutting-edge AI company dedicated to advancing defense technologies. Our mission is to safeguard democratic values and ensure that societies can make autonomous decisions while upholding ethical standards. We are committed to responsible technology development and deployment, particularly in the realm of AI.Our team comprises driven engineers, AI experts, and client-facing program managers united by a common purpose: tackling the most challenging and significant problems. We foster a culture of transparency and encourage open discussions surrounding the ethical implications of technology in defense.The PositionAs an AI Research Engineer at Helsing, you will be at the forefront of innovating autonomous decision-making systems for defense. Your work will encompass a wide range of AI applications, including extensive data processing, reinforcement learning agent training, and the development of large-scale foundational models. Collaborating within a diverse team, your responsibilities will include architecting and implementing robust tools and platforms that drive these advancements. You will focus on abstracting complex distributed systems to enhance training efficiency and developer productivity. We seek engineers who can effectively blend machine learning with systems engineering to create scalable solutions.Key Responsibilities:Enhance our integrated deep learning frameworks, built on PyTorch, to make them efficient and user-friendly across various applications.Expand our infrastructure and tooling to facilitate faster and larger-scale distributed training.Devise data strategies to manage extensive datasets effectively.

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Senior Robotics and Machine Learning Engineer at Quantum Systems | Gilching, Bayern, Germany

Quantum-Systems

Full-time|On-site|Gilching, Bayern, Germany

Join our innovative Drone Port team as a Senior Robotics and Machine Learning Engineer, where you will spearhead the development of cutting-edge capabilities in object detection, tracking, pose estimation, and advanced robotic control leveraging AI and machine learning techniques. Your expertise will be instrumental in ensuring the reliable detection and tracking of drones, as well as facilitating precise landing and manipulation using a variety of sensing techniques.In this role, you will collaborate closely with cross-functional teams across software, hardware, and aeronautical engineering to design comprehensive end-to-end solutions. Your responsibilities will include selecting suitable hardware components and developing robust software to process sensor data, enabling real-time decision-making and control. Your contributions will help position Quantum Systems as a leader in aerial data collection solutions with our state-of-the-art unmanned aerial systems (sUAV).

Apr 16, 2025

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Senior Machine Learning Engineer at AppLike | Hamburg

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Machine Learning Research Engineer Internship

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Senior Machine Learning Scientist

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Join Intercom, the leading AI Customer Service company, dedicated to empowering businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands out as the most sophisticated customer service AI solution available, enabling companies to provide constant, flawless service and revolutionize their customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite, which offers AI-enhanced support for intricate or high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom is trusted by nearly 30,000 global businesses and is committed to redefining customer service standards. Our core values inspire us to innovate relentlessly, operate with speed and intensity, and consistently provide remarkable value to our clients.We believe Berlin is an ideal city for those who share our passion for speed and innovation. The city boasts a unique combination of deep technical expertise and a vibrant creative culture, making it a hub for top-tier talent eager to collaborate on ambitious projects. With close ties to our R&D centers in Dublin and London, Berlin is where the best minds come together to thrive.As we aim to expand our team by hiring 100 professionals across engineering, AI, data science, product, and design over the next year, this is an exciting opportunity to be among the pioneering R&D talents in the region and leave a lasting mark as we develop the world's leading customer agent.What’s the Opportunity?The Machine Learning team at Intercom is at the forefront of defining new ML features, researching cutting-edge algorithms and technologies, and swiftly delivering prototypes to our customers.We are a highly product-focused team, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions within weeks of successful offline testing.Our passion for machine learning drives us to explore and productize everything from conventional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural network applications. We rigorously test and assess the real customer impact of every model we deploy.What Will I Be Doing?Identify opportunities where ML can generate value for our customers.Determine the optimal ML framing for product challenges.Collaborate with team members and Product and Design stakeholders.

Jan 28, 2026

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Machine Learning Engineer, Forward Deployed

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Full-time|On-site|Berlin

Join Our Innovative TeamAt Prior Labs, we are pioneering the development of foundation models that adeptly comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the fields of text and image processing, structured data has largely been overlooked. We are seizing the opportunity to address this $600 billion market and fundamentally transform how organizations manage scientific, medical, financial, and business data.Our Achievements: We stand at the forefront of structured data machine learning. Our TabPFN v2 model, featured in Nature, has set a new benchmark in tabular machine learning. Since its launch, we have enhanced our model capabilities over 20 times, achieved over 2.5 million downloads, garnered more than 5,500 stars on GitHub, and are witnessing rapid adoption across both research and industry sectors. We are currently developing the next generation of tabular foundation models and actively commercializing them in collaboration with global enterprises in Europe and the U.S.About Our Team: We are a compact, highly selective team of over 20 engineers and researchers, chosen from more than 5,000 applicants. Our team includes talents from industry giants like Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and supported by renowned AI researchers, including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our exceptional team here.Looking Ahead: With backing from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting opportunity to join us and contribute to shaping the future of structured data AI. Read our manifesto.Your ImpactIn this role, you will do more than simply deploy models; you will play a crucial role in delivering transformative solutions that redefine how organizations leverage data. You will work at the intersection of advanced AI technology and practical applications, collaborating closely with our key strategic partners.

Jan 31, 2026

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Machine Learning Engineer for Cloud Platform

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Full-time|On-site|Berlin

Join Our Innovative TeamAt Prior Labs, we are revolutionizing the way organizations interact with structured data, the cornerstone of science and business. While foundation models have significantly advanced the fields of text and image processing, structured data has largely been overlooked. We are seizing a $600 billion opportunity to transform how scientific, medical, financial, and business data are utilized.Leading the Charge: We are recognized as the premier organization in structured data machine learning. Our TabPFN v2 model, highlighted in Nature, has set a new benchmark in tabular machine learning. Our capabilities have expanded over 20 times since launch, with over 2.5 million downloads and 5,500+ stars on GitHub, leading to rapid adoption in both research and industry. We are now advancing the next generation of tabular foundation models and partnering with major enterprises across Europe and the US.Our Team: We are a tight-knit team of over 20 engineers and researchers, handpicked from a pool of more than 5,000 applicants, with backgrounds from renowned companies like Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. Our team is guided by the creators of TabPFN and supported by leading AI experts such as Bernhard Schölkopf and Turing Award winner Yann LeCun. Get to know our team here.Looking Ahead: With backing from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are rapidly expanding. This is the perfect moment to join us and help shape the future of structured data AI. Explore our manifesto.

Sep 26, 2025

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