44 Machine Learning jobs

If you are excited about automated driving, big data applications or just designing and implementing sophisticated full stack applications, this job is for you! At SiaSearch, we are looking for a talented and motivated machine intelligence engineering intern to join our team of 15+ experienced, diverse, enthusiastic and open-minded people in Berlin. What we do At SiaSearch our vision is to bring secure L4 and L5 autonomous vehicles (AVs) into European cities. We are building solutions for intelligent data extraction, which automatically filter and categorize raw sensor data collected by AVs and extract semantic metrics relevant for autonomous driving. This does not only critically accelerate development and deployment but can also make data storage more efficient by focusing on the important parts in the data. Therefore, we need to replace human intelligence in the data screening process with sophisticated machine intelligence. We are currently working with multiple leading OEMs, Tier 1 suppliers and AV startups to speed up and improve software deployment. Our team is growing quickly and we are looking for experienced machine intelligence engineers who ideally gained hands-on experience with AV sensor data. Tasks SiaSearch is looking for a machine intelligence engineering intern to join our team and help us to build the leading intelligent data platform for autonomous driving. A critical part in delivering this vision is our contribution to high profile research projects together with leading automotive companies in Europe, funded by the German government as well as the European Union. This is why we are searching for talented engineers to lead these projects at Merantix: Your responsibilities will include: Research and prototype state-of-the-art deep-learning models with a focus on safety and robustness in ADAS / autonomous driving solutions Independently architect and design implementations in collaboration with partner companies Take on full leadership of the initiatives, including project management and execution Formalize and present progress as well as results of the project externally, including regular travel opportunities for meetings and conferences You will use cutting edge frameworks and infrastructure that enables training, testing, simulation and deployment of autonomous driving technology. You will work directly with leading researchers of top OEMs, AV companies and Tier 1 suppliers in the highly vibrant and rapidly growing industry of autonomous driving. Requirements We're looking for driven, visionary and thoughtful people with a proven track record of personal, academic and professional achievement: Basic qualifications: MA/MS in computer science or a related technical field, or equivalent practical experience Demonstrated programming experience with a variety of (deep) machine-learning tasks Proven experience in independently managing and completing complex technical projects You know and care about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation Solid understanding of cloud infrastructure (GCP, AWS) Solid competence in software engineering with a common programming language such as Python, C++, or similar Fascination and enthusiasm for the conceptualization, development and deployment of autonomous vehicles as well as related technologies Confidence and ability to interact with several external project leads, manage interdependent work streams and to design as well as to explain complex technical solutions Excellent oral & written communication skills in German and English Preferred qualifications: PhD in computer science, machine learning, or related technical field Demonstrated experience in independently developing integrated ML software solutions, including backend and frontend Experience delivering high-quality code reviews and working with a large codebase Proven leadership experience and passion for people development In depth experience scaling cloud infrastructure (GCP, AWS) in production Practical mastery of code optimisation and efficiency Experience with Apache Beam, Docker Understanding advanced sensor setups of autonomous cars, i.e. handling data from camera, lidar, radar, or ultrasonic sensors The preferred qualifications are just that:   preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you: Creative and technical environment: As we work on cutting edge technology, we are forced to do things differently and take new paths. We love challenging the status quo and finding creative solutions for challenges. Competitive salary and benefits (e.g. company hardware and lunches). Work-life balance: Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust based organization and believe in ownership and responsibility. Professional Development: We encourage our employees to continuously develop their personal skill set at seminars, workshops, conferences or through other methods. Collaborative Culture: We have regular offsites and team dinners. If you want to participate, that's great! And if you don't, that's fine, too. We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.

Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? We are looking for an ambitious Machine Learning Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry. What we do At Merantix Healthcare, we aim to make high-quality diagnostic services accessible to patients all around the world by applying machine learning to medical images. Our product, Vara, enables radiologists to reach superior diagnostic performance at spotting cancer by automating the diagnosis of non-malignant exams. Our team is made up of 25 entrepreneurs, medical doctors, and engineers from top-tier companies (e.g. Google, Amazon, BCG) and universities (e.g. Oxford, Stanford, University of St. Gallen) around the world. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Further information can be found on our website:  www.varahealthcare.com. Tasks You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise. Your main responsibilities will include: Research and building state-of-the-art deep learning models Design terabyte-scale data pipelines Data analysis, experiment design and clean evaluation Learning about the medical domain to understand how to build better models Clear communication of results in the team Requirements We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision. Basic qualifications: BA/BS in computer science or related technical field, or equivalent practical experience Experience in applied machine learning and software engineering The preferred qualifications are just that:  preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Preferred qualifications: MSc or PhD in computer science, machine learning, or related technical field Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure Significant industry experience developing enterprise or data products Background in deep learning, computer vision, NLP, or related fields Benefits We believe in ownership, flat hierarchy and direct communication, which means that we operate and learn fast, as a team. In addition to a competitive salary, equity package and fringe benefits (like company hardware or company lunches), the following aspects are central to our company culture: Dynamic working culture: Merantix Healthcare offers a dynamic and flexible work environment. Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust-based organization and believe in ownership, personal responsibility, and the motivation of our people. Professional Development: be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skill set. Collaborative Culture: we have regular off sites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too. Excellence: We are driven researchers, developers and entrepreneurs who believe in what they create and are committed to the success of it. In order to build disruptive products, we strive for outstanding quality and visionary ideas in a high-performance environment. We are an equal opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration

We are harnessing machine learning to revolutionize the bioeconomy. Bioinformatics and machine learning will enable numerous steps in synthetic biological processes and generate novel solutions for a sustainable future. Come join our venture to engineer the tools of the future economy. You will be one of the early employees, having an outsized impact, shaping the company through your efforts, scientific experience and industry expertise. We are incubated at Merantix, an AI Venture Studio which conceptualizes, builds and scales machine learning companies. Merantix is distinct in its attraction of world-class talents, trust from European´s leading organizations and dynamic culture across its ventures. Our team is made up of 60 engineers, scientists, and entrepreneurs from leading universities. Many of us hold a Ph.D. and gained experience at top-tier tech companies. We are looking for a Systems Metabolic Engineer to enhance our team and to help us build the next generation of machine learning applications for the bioeconomy. Tasks You will use modern machine learning frameworks to develop models for projects ranging from protein functional prediction to fermentation optimization. Additionally, you will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly receive new projects from industrial and academic partners. Successful projects will be highly automated via clean, maintainable code. You will work in a team with biologists, bioinformaticians and business analysts to create the newest tools to enable the bioeconomy. Your main responsibilities will include: Develop and deploy novel machine learning algorithms on biological and chemical data; Design terabyte-scale data pipelines; Keep up-to-date with the latest advances in the field; Drive long-term success by building or integrating new technologies; Push multiple projects allowing us to deliver useful tools to our partners as well as internal proof of concepts; Develop a scientific and technical vision of the venture together with a collaborative, interdisciplinary and entrepreneurial team. Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement: MSc or PhD in computer science, statistics, mathematics, physics, engineering, bioinformatics, machine learning, OR a biological/chemical background with significant, multi-year, demonstrable machine learning experience in industry; Exceptional competence in applied machine learning and software engineering and its application in biology; An understanding of basic molecular biology is essential to this role; Experience with several of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, Docker, or PyTorch; Passion for exploration and execution of ‘proof of concept’ projects; Intense drive to learn new skills and utilize new technologies; Ability to work in a fast paced environment, dealing with uncertainty and building something from the ground up; Outstanding communication and interpersonal skills. Please note, only applicants with relevant experience in Biology will be considered for this role. Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you: Entrepreneurial mindset: creative, focused, and not easily discouraged; Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm; Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root; Independent but cooperative mindset; Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively; Love what you do (and own it). In addition to a competitive salary and equity package, you can expect the following: Flexible working hours as we believe in ownership and trust; Learning & Development Program for all our team members; Regular team events and intensive exchange with all Merantix companies; Free drinks, snacks and breakfast. We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration

Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? We are looking for an ambitious Machine Learning Research Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry. What we do At Merantix Healthcare, we aim to make high-quality diagnostic services accessible to patients all around the world by applying machine learning to medical images. Our product, Vara, enables radiologists to reach superior diagnostic performance at spotting cancer by automating the diagnosis of non-malignant exams. Our team is made up of 25 entrepreneurs, medical doctors, and engineers from top-tier companies (e.g. Google, Amazon, BCG) and universities (e.g. Oxford, Stanford, University of St. Gallen) around the world. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Further information can be found on our website:  www.varahealthcare.com. Tasks You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise. Your main responsibilities will include: Research and building state-of-the-art deep learning models Design terabyte-scale data pipelines Data analysis, experiment design and clean evaluation Learning about the medical domain to understand how to build better models Clear communication of results in the team Requirements We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision. Basic qualifications: BA/BS in computer science or related technical field, or equivalent practical experience Experience in applied machine learning and software engineering The preferred qualifications are just that:  preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Preferred qualifications: MSc or PhD in computer science, machine learning, or related technical field Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure Significant industry experience developing enterprise or data products Background in deep learning, computer vision, NLP, or related fields Benefits We believe in ownership, flat hierarchy and direct communication, which means that we operate and learn fast, as a team. In addition to a competitive salary, equity package and fringe benefits (like company hardware or company lunches), the following aspects are central to our company culture: Dynamic working culture: Merantix Healthcare offers a dynamic and flexible work environment. Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust-based organization and believe in ownership, personal responsibility, and the motivation of our people. Professional Development: be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skill set. Collaborative Culture: we have regular off sites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too. Excellence: We are driven researchers, developers and entrepreneurs who believe in what they create and are committed to the success of it. In order to build disruptive products, we strive for outstanding quality and visionary ideas in a high-performance environment. We are an equal opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.

Your Challenge Konzeption und prototypische Implementierung eines standardisiertem Testverfahrens für nachtrainierte Machine Learning Modelle oder Identifikation von potenziellen Use Cases zum Thema „Natural Language Processing“ bzw. „Text Mining“ und prototypische Umsetzung (z.B. Automatische Analyse und Klassifizierung von News Artikeln, welche die Stimmung zu einer Person bzw. einem Unternehmen wiedergeben) oder Untersuchung, ob Machine Learning dazu verwendet werden kann, um ein vollautomatisches Feature Engineering auf beliebigen Daten durchzuführen (z.B. Features zu identifizieren, die für die Erstellung eines Machine Learning Modells einen großen Einfluss haben) Your Skills Sie sind Student (w|m|d) der Informatik, der Wirtschaftsinformatik oder vergleichbarer Studiengänge Idealerweise haben Sie erste praktische Erfahrungen mit Java sowie im Umgang mit Datenbanken Die schnelle Einarbeitung in neue Aufgabenstellungen fällt Ihnen leicht Eine selbstständige und strukturierte Arbeitsweise zeichnet Sie aus Sie haben Freude an der Umsetzung anspruchsvoller Lösungen im Team und arbeiten gerne mit Menschen zusammen

Um die digitale Transformation im gesamten Konzern zu etablieren und erfolgreich alle Potentiale auszuschöpfen sind wir für unseren Kunden, einen Multinationalen Konzern, auf der Suche nach einem „Machine Learning Expert (m/w)“, der in der Lage ist analytische Lösungen zu entwickeln die sich mit den Geschäftszielen decken und hierbei eine Vielzahl an Data Science Tools und Methoden nutzt. Der Stelleninhaber wird Abteilungsübergreifend mit Data Scientists, Software Entwicklern und Big Data Engineers arbeiten um die ambitionierten Ziele zu erreichen. Falls für dich die Nutzung von Multivarianten Regressions,- Bayesian und Montecarlo Simulations Modellen gepaart mit Python, R, Stata, Java, sowie verteilten Systemen wie Hadoop und Spark bereits zum Alltag gehört und du dein Fachwissen nun auf der internationalen Bühne gewinnbringend einsetzen willst, dann freuen wir uns von dir zu hören. Dich erwartet ein attraktives Gehalt und das arbeiten in modernen Büros in zentraler Lage Münchens. Aufgaben Ausarbeitung innovativer Wege um Fragestellungen anhand von Data Mining und Machine Learning Methoden zu bewältigen Auswahl der geeignetsten Methoden, sowie Definition und Bewertung von Algorithmen zur Erreichung von Geschäftszielen Unterstützung in der Entwicklung der Data Science Roadmap Abteilungsübergreifendes Projektmanagement Kollaboration mit Teamkollegen zur Identifizierung von Problemen und Lösungswegen für automatisierte und standardisierte Reports Marktbeobachtung um Up-To-Date mit neuesten Machine Learning Entwicklungen zu sein, um die Insights im Unternehmen zu verankern Profil Studium oder Promotion in Mathematik, Statistik, IT, oder anderen numerischen Disziplinen Expertenkenntnisse im Machine Learning und Data Mining, sowie in einer weiteren Disziplin der statistischen Datenmodellierung Berufserfahrung als Data Scientist, Predictive Modeller oder Data Analyst Ein Fable für Zahlen, ihre Interpretation und das Entdecken von Zusammenhängen Die Gabe auf Deine Businesspartner einzugehen und eine „Daten getriebene Revolution“ voranzutreiben Gute Kenntnisse in R und/oder Python, sowie SQL sind eine Grundvoraussetzung „Know How“ in einem Big Data Framework Idealerweise hast Du bereits mit Tableau visualisiert Goodies Zusatzversicherungen Laptop Kantine Home Office Fragen Max Mustermann Data Science Consultant 030 89 40 25 66 info@flint-data.com

Abwechslungsreiche, interessante Aufgaben mit vielen Herausforderungen Attraktive Entwicklungsmöglichkeiten Teamarbeit und offener Informationsaustausch Leistungsorientiertes Gehaltssystem Ihre Aufgaben Eigenverantwortliche Entwicklung und Betreuung von analytischen Anwendungen für die Gesetzliche Krankenversicherung Mitarbeit in Innovationsprojekten wie z.B. Machine-Learning-basierter Prozessoptimierung mit nahtloser Integration in SAP Business-Warehouse Konzeption und Realisierung in einer Micro-Service-orientierten Python/TensorFlow-Entwicklungsumgebung Koordination der fachlichen und technischen Anforderungen sowie die Erstellung von Fach- und DV-Konzepten Beratung unserer Kunden bei der Einführung von analytischen Produkten Das sollten Sie mitbringen: Abgeschlossenes Studium der Informatik, Mathematik oder Physik oder eine vergleichbare Qualifikation (gerne auch Berufseinsteiger) Fundierte Programmierkenntnisse und ein gutes technisches Verständnis sowie eine strukturierte und analytische Arbeitsweise Wünschenswert sind Kenntnisse über statistische oder Machine-Learning-Verfahren wie z.B. Klassifikation, Regressionsanalysen oder Natural Language Processing Hohes Maß an Eigeninitiative, Service- und Kundenorientierung Kommunikationsfähigkeit, Flexibilität und Teamfähigkeit Generelle Bereitschaft zur Reisetätigkeit und zum Projekteinsatz bei unseren Kunden

Berlin, Germany Artificial Intelligence c Computer Science GANs Machine Learning Python software engineering About Us PCH Innovations is a multi-disciplinary innovation studio based in Berlin and Los Angeles. For 15 years, we have helped our clients navigate their respective futures by developing adaptive strategies, concepts, and high-fidelity prototypes. We engage diverse topics, including: mobility, logistics, robotics, AI, science, and consciousness. We are a team of engineers, designers, technologists, futurists, coders, filmmakers, writers, and artists. We are looking for a Machine Learning & Software Engineer, Data enthusiast & analyst for our Berlin office – someone with a passion for innovation, focused on research and data. Over the last year, we have developed proprietary workflows, software frameworks, and algorithms that allow us to feed Generative Adversarial Networks (GANs) with thousands of highly detailed 3D data models. This combined solution, called ‘Blank Compose’, enables us to train neural networks on spatial data of any object, opening the field of deep & machine learning to industrial CAD applications – enabling what we call ‘dreamtelligence in product design & engineering’. About You Have at least a Master’s degree in Computer Science, Mathematics or related with a focus on Machine Learning (Deep Learning, Artificial Intelligence, Data Science) Have excellent knowledge of Python; other languages such as C#, C++ are appreciated Have already gathered practical experiences in the field of Machine Learning, and applied corresponding frameworks such as TensorFlow, PyTorch, Keras Your software engineering skills and interest extend beyond prototype development, into deploying software as a service Have creative thinking and multi-tasking skills Have excellent problem-solving and analytical skills Can quickly adapt to new objectives and dynamically evolving strategic directions Plus Points Experience with training & optimizing Generative Adversarial Networks (GANs) Experience in handling 3D data formats, including mesh analysis and visualization Your tasks Participate in cutting edge research & developments in the fields of computer vision, artificial intelligence, and machine learning applications Conduct foundational research and develop big data-driven systems & automated processes, as well as concrete solutions for industrial AI applications – in close collaboration with our research team, coders, and engineers Due to the high interest in our solution we’re currently investigating a spin-off of this project; therefore the ideal candidate should be interested in a long-term commitment and be willing to take over a leading position in the medium term The ideal candidate will be employed full time in our Berlin studio What we offer A diverse, international, and caring team that supports one another at work and beyond A culture of responsibility, co-determination, openness, and mindfulness Opportunity to explore a wide variety of exciting territories at the forefront of technological and societal innovation A space for creative freedom and expression – a beautiful, quiet, and dog-friendly studio in a repurposed kindergarten, with a big garden and multiple terraces Fresh fruits throughout the week, and weekly shared lunches cooked by the most lovely chef (vegan/vegetarian) Team-building activities to support our team interaction & culture Individual and team coaching (on request) If you are interested in working with us, we’d love to hear from you. Please reach out to us with your CV, relevant work references, and preferably your Master/Bachelor Thesis abstract via talent@pch-innovations.com

We are looking for a data manager working with us on the challenges and questions we facing as a global, data driven biopharma company within R&D with regards to scientific data storage, curation, management and reporting.

Stellenprofil Sie suchen eine spannende, herausfordernde Tätigkeit bei einem der größten Finanzdienstleister weltweit? Dann sind Sie bei uns genau richtig. Im Aktuariat der Allianz Privaten Krankenversicherungs -AG analysieren wir die komplexen Zusammenhänge im Versicherungsgeschäft, bewerten Chancen und Risiken und setzen unsere Herausforderungen mit Hilfe von mathematischen Modellen und Big Data Methoden in die Praxis um. Unsere strategisch wichtigen Erkenntnisse bilden damit die Basis für das Pricing unserer Produkte, für das wir hauptverantwortlich sind. Die Erstellung aktuarieller Analysen bietet bei großer Themenvielfalt spannende, fachliche und mathematische Herausforderungen und den direkten Bezug zum Versicherungsgeschäft. In enger Zusammenarbeit mit verschiedensten Schnittstellenpartnern (z.B. Produktentwicklung, Risikomanagement) nehmen Sie Aufgaben entlang der gesamten aktuariellen Wertschöpfungskette von Datenanalyse und Modellierung über Tarifentwicklung bis zur Vorbereitung von Unternehmensentscheidungen für das Krankenversicherungsgeschäft der Allianz Deutschland wahr. Aufgaben Kalkulation von Krankenversicherungsprodukten und aktuarielle Mitarbeit bei der Produktentwicklung Innovative Weiterentwicklung der bestehenden Methodiken zur Lösung versicherungsmathematischer Fragestellungen Entwicklung von Prognosemodellen mit Hilfe moderner Algorithmen zur Datenanalyse (u.a. Machine Learning, Data Mining) Mitgestaltung des internen Risikomodells Kranken Analyse der Ergebnisquellen des Unternehmens Gestaltung der dispositiven Datenlandschaft für das Aktuariat Anforderungen/Kenntnisse/Erfahrungen Exzellenter Abschluss des Studiums der Mathematik, Physik, Informatik, Statistik oder einer vergleichbaren Studienrichtung, Promotion von Vorteil Gute Kenntnisse in mindestens einer Programmiersprache (z.B. Java oder VBA) Vertiefte Kenntnisse und praktische Erfahrung in Datenmodellierung und -analyse, sowie im Umgang mit der entsprechenden Software (SAS, R, Python) von Vorteil Idealerweise begonnene Ausbildung zum Aktuar DAV bzw. Bereitschaft zur Ausbildung zum Aktuar (die Ausbildung zum Aktuar DAV wird unternehmensseitig finanziert, es bestehen weitere umfassende Aus- und Weiterbildungsmöglichkeiten) Ausgeprägte kommunikative Fähigkeiten, insbesondere die Fähigkeit, komplexe Sachverhalte anschaulich zu vermitteln Aufgeschlossenheit gegenüber vertrieblichen, betriebswirtschaftlichen und juristischen Fragestellungen Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift   Zusätzliche Informationen Besetzungstermin: schnellstmöglich Bewerbungszeitraum: laufend Bei Fragen zum Bewerbungsprozess erreichen Sie Frau Caroline Rieger per E-Mail an caroline.rieger@allianz.de. Für inhaltliche Fragen zur Stelle steht Ihnen Herr Hertel unter der Telefonnummer 089/3800-60590 oder per E-Mail an stefan.hertel@allianz.de zur Verfügung. Interesse? Dann freuen wir uns auf Ihre aussagekräftigen Bewerbungsunterlagen mit Lebenslauf und Zeugnissen sowie Gehaltswunsch unter Angabe des Referenzcodes und möglichem Eintrittsdatum online über unseren Stellenmarkt auf careers.allianz.com. Referenzcode APKV-7248147-1/ss/jw/jp Die Allianz ist das Zuhause für alle, die sich trauen– ein Arbeitgeber, der seinen Mitarbeitern den Raum bietet, sich zu entfalten und dadurch unsere weltweite Marktführerschaft aktiv mitzugestalten. Die Allianz kümmert sich aufrichtig um Menschen, sowohl um 85 Millionen Privat- und Firmenkunden als auch um mehr als 142.000 Mitarbeiter. Die Allianz fördert eine Unternehmenskultur, die ihre Mitarbeiter befähigt, gemeinsam Großes zu erschaffen, Höchstleistungen zu erzielen, neue Wege zu gehen und die Branche herauszufordern. Wir streben danach, der vertraute Partner an der Seite unserer Kunden zu sein und ihnen das Vertrauen zu geben, den nächsten Schritt zu wagen. Trauen Sie sich, und werden Sie Teil der Allianz Gruppe. Die Allianz ist ein Arbeitgeber, der Chancengleichheit fördert. Bei uns sind alle willkommen, unabhängig von Merkmalen wie Geschlecht, Alter, Herkunft, Nationalität, Rasse oder ethnischer Zugehörigkeit, Religion, Behinderung oder sexueller Orientierung. Die Allianz Deutschland AG ist eines der größten Unternehmen innerhalb der Allianz Gruppe und hat ihren Sitz in München. Sie bündelt das Sach-, Lebens- und Krankenversicherungsgeschäft auf dem deutschen Markt. Tragen Sie dazu bei, unsere herausragende Marktposition zu stärken, und nutzen Sie unsere vielfältigen Entwicklungsmöglichkeiten. Mit unseren vielfältigen Zusatzleistungen unterstützen wir unsere Mitarbeiterinnen und Mitarbeiter bei der Vereinbarkeit von Privatleben und Beruf. Was uns als Arbeitgeber attraktiv macht, erfahren Sie unter https://careers.allianz.com. Allianz Deutschland AG München Unterföhring

Stellenprofil Haben Sie Spaß an der Lösung komplexer Fragestellungen und wollten Sie schon immer wissen, wie Sie Ihre mathematischen Fähigkeiten in der Praxis bestmöglich einsetzen können? Dann bieten wir Ihnen die Möglichkeit, das breite Aufgabenspektrum eines Aktuars im Fachbereich Rechnungswesen / Aktuariat kennen zu lernen. Wir, das Sach-Aktuariat im Finanzressort der Allianz Deutschland AG beschäftigen uns neben der Schätzung von Schadenreserven für verschiedene Rechnungslegungsarten auch mit der Betreuung der hierfür relevanten Datengrundlagen und Analyse-Systeme, sowie der Durchführung von Profitabilitätsanalysen. Hauptaufgabe von uns Aktuaren ist es dabei, den Vorstand bei einer angemessenen Risikoüberwachung zu unterstützen und mit der Berechnung der Schadenreserven in einer Größenordnung von ca. 11 Milliarden Euro einen ökonomisch bedeutenden Teil der Bilanzen zuzuliefern. In einem dynamischen Team sind Sie für Analyseergebnisse von hoher fachlicher und strategischer Relevanz für das Unternehmen zuständig. Sie erhalten tiefe Einblicke in aktuarielle Prozesse und Methoden des Marktführers und beschäftigen sich mit spannenden Herausforderungen bei der mathematischen Modellierung der Schadenentwicklung eines vielfältigen Bestandes an Versicherungsprodukten und Kundengruppen. Aufgaben Aktuarielle Bewertung der Schaden- und Prämienreserven nach internationalen Rechnungslegungsvorschriften, Solvency II und HGB für die Sach-Branchen der Allianz Deutschland AG Umsetzung und Kommunikation der Bewertung in Zusammenarbeit mit internen Schnittstellen, Gremien und Wirtschaftsprüfern im Rahmen der Quartals- und Jahresbilanzen, sowie der Unternehmensplanung Mitarbeit in Data Analytics Projekten zur Erweiterung der aktuariellen Datengrundlagen und innovativen Analysemöglichkeiten auf schadenindividueller Basis Durchführung von Analysen zur Profitabilität und Kapitaleffizienz von Neu- und Bestandsgeschäft Sonderanalysen und Projektarbeit zur konzeptionellen und operativen Weiterentwicklung der technischen, methodischen und organisatorischen Rahmenbedingungen für die Reservebewertung und Steuerung des Sach-Geschäfts Anforderungen/Kenntnisse/Erfahrungen Erfolgreich abgeschlossenes Hochschulstudium der Mathematik oder Statistik, idealerweise mit Schwerpunkt in der Wirtschafts-/ Finanzmathematik oder Aktuarwissenschaften Sehr gute analytische und konzeptionelle Fertigkeiten Ausgeprägte kommunikative Kompetenz, insbesondere die Fähigkeit, komplexe Sachverhalte anschaulich zu vermitteln Hohes Maß an Selbstorganisation und Eigenverantwortlichkeit Praktische Erfahrung im Umgang mit Data Analytics Methoden Erfahrung in der Analyse und Visualisierung großer Datenmengen Begonnene Ausbildung zum Aktuar DAV oder praktische Erfahrung im aktuariellen Berufsumfeld von Vorteil Zusätzliche Informationen Besetzungstermin: schnellstmöglich Bewerbungszeitraum: 17.03. - 11.05.2020 Bei Fragen zum Bewerbungsprozess erreichen Sie Frau Sinanian-Bohner telefonisch unter Telefonnummer 089/3800-7411 oder per E-Mail an madeleine.sinanian-bohner@allianz.de Für inhaltliche Fragen zur Stelle steht Ihnen Herr Diepold unter der Telefonnummer 089/3800-6972 oder per E-Mail christian.diepold@allianz.de zur Verfügung. Interesse? Dann freuen wir uns auf Ihre aussagekräftigen Bewerbungsunterlagen mit Lebenslauf und Zeugnissen sowie Gehaltswunsch unter Angabe des Referenzcodes und möglichem Eintrittsdatum online über unseren Stellenmarkt auf careers.allianz.com. Referenzcode AZD-7228790-1/jp/jw/ss Die Allianz ist das Zuhause für alle, die sich trauen– ein Arbeitgeber, der seinen Mitarbeitern den Raum bietet, sich zu entfalten und dadurch unsere weltweite Marktführerschaft aktiv mitzugestalten. Die Allianz kümmert sich aufrichtig um Menschen, sowohl um 85 Millionen Privat- und Firmenkunden als auch um mehr als 142.000 Mitarbeiter. Die Allianz fördert eine Unternehmenskultur, die ihre Mitarbeiter befähigt, gemeinsam Großes zu erschaffen, Höchstleistungen zu erzielen, neue Wege zu gehen und die Branche herauszufordern. Wir streben danach, der vertraute Partner an der Seite unserer Kunden zu sein und ihnen das Vertrauen zu geben, den nächsten Schritt zu wagen. Trauen Sie sich, und werden Sie Teil der Allianz Gruppe. Die Allianz ist ein Arbeitgeber, der Chancengleichheit fördert. Bei uns sind alle willkommen, unabhängig von Merkmalen wie Geschlecht, Alter, Herkunft, Nationalität, Rasse oder ethnischer Zugehörigkeit, Religion, Behinderung oder sexueller Orientierung. Die Allianz Deutschland AG ist eines der größten Unternehmen innerhalb der Allianz Gruppe und hat ihren Sitz in München. Sie bündelt das Sach-, Lebens- und Krankenversicherungsgeschäft auf dem deutschen Markt. Tragen Sie dazu bei, unsere herausragende Marktposition zu stärken, und nutzen Sie unsere vielfältigen Entwicklungsmöglichkeiten. Mit unseren vielfältigen Zusatzleistungen unterstützen wir unsere Mitarbeiterinnen und Mitarbeiter bei der Vereinbarkeit von Privatleben und Beruf. Was uns als Arbeitgeber attraktiv macht, erfahren Sie unter https://careers.allianz.com. Allianz Deutschland AG München Unterföhring

Within the framework of the Hightech Agenda Bavaria, FAU invites applications for up to three Open Topic Full Professorships (W 3) for Data, Sensors, and Devices at the new Department of Artificial Intelligence in Biomedical Engineering at the Faculty of Engineering.

FAU invites applications for an Open Topic Tenure Track Professorship for Data, Sensors, and Devices / Digital Transformation (W1 / Assistant Professor) at the new Department of Artificial Intelligence in Biomedical Engineering at the Faculty of Engineering. The professorship is to be filled by 01.11.2020.

Within the framework of the Hightech Agenda Bavaria, FAU invites applications for up to two Open Topic Full Professorships (W 3) for Medical Robotics at the new Department of Artificial Intelligence in Biomedical Engineering at the Faculty of Engineering.

FAU invites applications for an Open Topic Tenure Track Professorship for Medical Robotics / Digital Transformation (W 1 / Assistant Professor) at the new Department of Artificial Intelligence in Biomedical Engineering at the Faculty of Engineering. The professorship is to be filled by 01.11.2020.

FAU invites applications for up to two Open Topic Tenure Track Professorships for Medical Procedures, Processes, and Interventions (W 1 / Assistant Professor) at the new Department of Artificial Intelligence in Biomedical Engineering at the Faculty of Engineering. The professorships are to be filled by 01.11.2020.

Within the framework of the Hightech Agenda Bavaria, FAU invites applications for up to three Open Topic Full Professorships (W 3) for Medical Procedures, Processes, and Interventions at the new Department of Artificial Intelligence in Biomedical Engineering at the Faculty of Engineering.

As German Research Center for Environmental Health, Helmholtz Zentrum München pursues the goal of developing personalized medical approaches for the prevention and therapy of major common diseases such as diabetes mellitus, allergies and lung diseases. To achieve this, it investigates the interaction of genetics, environmental factors and lifestyle. Germany’s largest research organization, the Helmholtz Association, launches  Helmholtz AI : This dedicated, interdisciplinary platform will compile, develop, foster, and promote applied artificial intelligence (AI) and machine learning (ML) methods nationwide for all Helmholtz centers in collaboration with its external and university partners. Its central unit is currently being implemented in Munich, one of Germany's major hubs for applied AI/ML, at the Helmholtz Center Munich. Fresh knowledge and ideas drive the success of our research programme. With Helmholtz AI, the Helmholtz Association now has the unique opportunity to leverage its broad and large data sets across many fields with analysis expertise to answer questions with societal impact. We are inviting applications for Young Investigator Group Leaders - Artificial Intelligence/Machine Learning (f/m/d) 2020/0064 with potential focus areas including algorithmic machine learning, big data integration, data assimilation and model-based machine learning, explainable AI and computer vision. Your opportunity In order to encourage bold and unconventional ideas, our environment nurtures your talents and supports new approaches over incremental successes. We are interested in receiving applications from people with a PhD and postdoc experience who want to address important applied AI/ML questions in our creative, multidisciplinary and collaborative environment. Successful candidates are expected to take this opportunity to enthusiastically shape the innovative and rapidly developing research field of AI/ML in Munich and beyond and should establish themselves as prominent focal points in the field. Your profile Young Investigator Group Leaders must hold a PhD, have international experience, should be highly motivated and innovative with an outstanding track-record in the field of machine learning, causal inference, computer vision, artificial intelligence, data science and/or data analytics. Demonstrable leadership experience, e.g. group supervision and management, including successful raising of extramural research funding, as well as business, entrepreneurial start-up and industry experience are considered assets. What we offer you At Helmholtz AI we pursue scientific excellence, innovation and impact. With a substantial starting package that includes staff and running costs, this is your opportunity to be a significant part of and to advance your career in a globally recognised environment, establishing your research group in a vibrant AI community with one of the biggest data treasures in Germany. The highly international, multidisciplinary setting provides ideal circumstances for your professional growth, collaboration and to expand based on external grants. Remuneration and benefits are in accordance with the collective salary agreement for the public service (TV EntgO Bund). The positions are initially limited to five years, with a tenure track option based on evaluations planned. Situated on the foothills of the Alps, Munich is consistently ranked as one of the most vibrant and enjoyable cities in the world, with an exceptional quality of life. Greater Munich is also home to several world-class universities and research institutes, creating a truly inspiring scientific atmosphere. With the help of extensive and goal-orientated professional development measures and career-building programmes we encourage you to grow as a person. To ensure a good work/life balance we assist you with flexible working hours, in-house health management, a nursery, and an “Elder Care” concept as well as other consultation and support options. To further increase the share of women we very much welcome the respective applications. As a holder of the Total E-Quality Award, we promote equality of opportunity and support women with e.g. mentoring programs, a dedicated training program for women’s career development and family support offers, such as holiday care for schoolchildren. Qualified applicants with physical disabilities will be given preference. Your application Curious?  If you have further questions, simply contact  Meike-Jana Kalb on +49 89 3187-3996 , who will be happy to be of assistance. We are looking forward to receiving your comprehensive online application. The application should be a single PDF file containing a curriculum vitae, a list of publications (highlighting up to three and briefly elaborating on their importance), the names and contact details of at least three references, a brief description (2 to 4 pages) of past achievements and a detailed description (max. 5 pages) of future research plans. Please use our online submission system. Interviews will be scheduled individually. More information about Helmholtz AI is available at  www.helmholtz.ai . Apply now Meike-Jana Kalb Phone: 089 3187-3996 Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Helmholtz AI Ingolstädter Landstr. 1 85764 Neuherberg near Munich The Helmholtz Zentrum München is part of the Helmholtz Association, Germany's largest scientific organization. Altogether 40 000 people currently work in its 19 scientific-technical and biological-medical research centers. The Association's annual budget amounts to around 4.7 billion Euros. Meike-Jana Kalb Phone: 089 3187-3996 Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Helmholtz AI Ingolstädter Landstr. 1 85764 Neuherberg near Munich The Helmholtz Zentrum München is part of the Helmholtz Association, Germany's largest scientific organization. Altogether 40 000 people currently work in its 19 scientific-technical and biological-medical research centers. The Association's annual budget amounts to around 4.7 billion Euros.