20 Machine Learning jobs

Apple's Machine Learning and AI team transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. With iOS 14 we launched our Translate app to translate words and phrases in up to 11 languages. You can also save translations for quick access, get definitions for translated words and download languages so you can use them offline. Join us to build the next generation of translation technology. Work on groundbreaking innovations, spoken language and huge datasets to allow users to communicate across language barriers. Key Qualifications Passionate about speech recognition or speech translation Knowledge in speech technologies such as acoustic and/or language modeling, endpointer, language ID etc Proficient with deep learning toolkits such as Tensorflow, PyTorch, etc. Competent programming skills (e.g. Java, Python, C++, etc.) Able to formulate research problems,...

Our Machine Learning and Computer Vision Engineers design, develop, and validate systems to enhance the safety and comfort in the vehicle cabin. This includes the development of innovative software features and machine learning algorithms in the area of driver state sensing, seat occupancy monitoring, child presence detection, or hand gesture recognition using 2D and 3D cameras as well as other interior sensing technologies. Driver state sensing plays an important role not only to prevent road accidents caused by drowsiness or distraction of the driver, but also in the context of higher levels of automated driving, e.g. hand over scenarios. As a master student you will be working in an international team of experienced machine learning engineers and software developers. You will get hands-on experience with state of the art neural networks and work on challenging real world problems from the automotive interior sensing domain. Your Tasks: Design, train, and test neural...

Summary Posted:  Sep 10, 2021 Weekly Hours: 40 Role Number: 200285664 As part of Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. We are offering an amazing internship opportunity to work directly with our R&D team in Aachen on a machine translation problem. Collaborate with some of the best in the business and see how we create the world's most innovative products and experiences. Our internships are a minimum of three months, you must be enrolled as a student on a Masters, PhD or equivalent course and available to start no later than 1st June 2022. Key Qualifications In-depth knowledge in deep learning (DL) and statistical machine learning (ML) Expertise in one or more of the following fields: speech recognition, speech translation, machine translation and natural language processing Strong publication record...

As a leading retailer in Europe my client has a wealth of untapped data to utilize and help drive transformations for a customer-centric business. They are hiring a  MLOps Engineer  to build out ML infrastructure solutions for their new Machine Learning capability. This will help the company stay competitive as the #1 provider for their products driving digital changes that put the customer at the heart of everything. Responsibilities Design, development and maintenance of Machine Learning tools and infrastructure solutions. Implementation of Machine Learning pipelines in the cloud in particular focusing on deployment, model registry, training and testing Development of tools and solutions to ensure high data quality and continuous operation of the data pipelines Working with a cross functional team in Machine learning to develop tools and processes for data labelling, AI service monitoring, storage of experiment results, feature store and more. Requirements...

We seek to appoint leading experts (including early career scientists) with internationally visible research and teaching profiles in the mathematical aspects of data science, for example, statistical modelling, mathematical foundations of machine learning, modern algorithms for data science, numerical analysis, harmonic analysis, mathematical analysis of large data sets, mathematics of edge computing, information geometry, or statistical manifolds.

We are situated in the aftersales IT on the premises of the heart of Mercedes-Benz in Sindelfingen / Böblingen.   Our responsibility is to support business processes from within the organization all the way to the end-customer of our passenger cars and also to workshops and dealerships. Through our various systems, there is also substantial amount of data being processed.   With our software solutins, we support our research and development, our production but also maintenance such as facilitating over-the-air software updates for our passenger cars. Your goal it is to establish innovative and effective processes optimizations.   Being a data detective, finding patterns in data jungles all the way to encasing your solution into a scalable web application.   Your work enables a whole new set of revolutionized business processes as part of a digitalized future.

At IONOS you work in partnership with different teams at the leading European provider of cloud infrastructure, cloud services and hosting services.   We offer you a perspective in one of the most future-proof industries.   We are characterized by open work structures, Duz culture and flat hierarchies with an incomparable team spirit.   We are firmly convinced that job and fun can be combined and offer you the appropriate environment for this.   With constant growth, we are always looking for new colleagues.   Become part of IONOS and let us grow together.

You are passionate about developing algorithms for image and spectral data for diagnostic applications? You are experienced in using machine learning libraries like TesorFlow or PyTorch? You like to discuss ideas in interdisciplinary teams and have a passion for clean code? * Then you are exactly the one we are looking for! * anvajo is an innovative technology company that has built up an integrated software and hardware platform for the analysis of a wide range of body fluids on the basis of many years of patented research on spectrometry and microscopy and is continuously developing it further. In addition to in-vitro diagnostics in human medicine, our technology serves exciting application fields in environmental analysis, food analysis, veterinary medicine and science. Our motivation is to provide fast, easy and cost-effective access to a wide range of point-of-care tests worldwide. For this we are looking for your active support  as soon as...

ICON plc is a world-leading healthcare intelligence and clinical research organization. From molecule to medicine, we advance clinical research providing outsourced services to pharmaceutical, biotechnology, medical device and government and public health organizations. With our patients at the center of all that we do, we help to accelerate the development of drugs and devices that save lives and improve quality of life.

At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us. YOUR ROLE Support the purchasing KAM Team in global digital projects and aid data-driven decision-making Develop data strategies to build game changers in the value chain of direct materials Work closely with the data science team to develop and test new models and optimization scripts Boost team performance to apply disruptive technologies through innovation in digital data science Collect data, run the code, check the output and visualize the output through dashboards and reports YOUR SKILLS Student who has successfully passed first semesters...

As a leading retailer in Europe my client has a wealth of untapped data to utilize and help drive transformations for a customer-centric business. They are hiring a  MLOps Engineer  to build out ML infrastructure solutions for their new Machine Learning capability. This will help the company stay competitive as the #1 provider for their products driving digital changes that put the customer at the heart of everything. Responsibilities Design, development and maintenance of Machine Learning tools and infrastructure solutions. Implementation of Machine Learning pipelines in the cloud in particular focusing on deployment, model registry, training and testing Development of tools and solutions to ensure high data quality and continuous operation of the data pipelines Working with a cross functional team in Machine learning to develop tools and processes for data labelling, AI service monitoring, storage of experiment results, feature store and more....

In this Position you will develop and integrate Machine Learning Models in our global IT-environment in production and be the key contact for the stakeholders. In your new role you will: support as a   Data Scientist   the product development with data analysis, digging into various data sources (internal and external) , finding ways to increase business value together with a software developers and business stakeholders evaluate, prototype and develop AI models   for evolving use cases together with business contacts (e.g. using Python) develop software for artificial intelligence system solutions   in the domain of semiconductor manufacturing and be responsible for maintaining the SW lifecycle become key contact for   global and multicultural stakeholders   in the area of manufacturing data analytics drive scaling and deployment of existing AI   solutions to other sites in our global manufacturing cluster You are best equipped for this task if you...

The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. The Faculty of Engineering Science at the University of Bayreuth is currently seeking to appoint a

Ein Zukunftsmarkt, ein Top-Arbeitgeber und abwechslungsreiche Perspektiven erwarten Dich: ista, einer der weltweit führenden Dienstleister für mehr Energieeffizienz im Gebäude, bietet viele Chancen und spannende Herausforderungen. Über 5.500 Menschen in mehr als 20 Ländern setzen auf die Innovationskraft und die überzeugenden Arbeitgeberleistungen unseres Unternehmens. Du möchtest dazu gehören? Bewirb Dich jetzt in unserem Head Office in Essen.

Oberkochen or Jena Thrive on innovation at a global technology leader. Develop exciting solutions in a diverse, stable work environment that’s focused on the future. Join us in a modern work environment with an open and inspiring culture and colleagues! You want to pioneer? In current machine learning applications the physical basis of optical imaging is hardly taken into account and one is often limited by the amount of available training data. In current optical development processes machine learning based methods play only a minor role. Your role is to change that. Integrated in a team you will advance ideas from academic stages to industrial product development. This comprises conceptional work and taking the initiative as well as implementing virtual prototypes and evaluating their performance. During your work you will build an excellent network with us in both academia and industry that will help us to leverage the latest technology advancements in order...

Die Abteilung Governance ist Teil des Unternehmens-Controlling. Sie verantwortet das strategische Controlling, das Unternehmens-Reporting, Risikomanagement und nachhaltige Unternehmenssteuerung. Gemeinsam kümmern wir uns um das Geschäft – vom Controlling über HR bis hin zu Marketing, Recht und Datenschutz. Wir bieten unseren Kollegen flexible Arbeitszeiten sowie vielfältige Entwicklungsmöglichkeiten Das sind Ihre Aufgaben: Sie sind im GRC-Umfeld verantwortlich für die Konzeption und Umsetzung von Risikomanagement-Projekten Sie erstellen Simulationen und Modelle für das quantitative Risikomanagement Sie beraten unsere Kund:innen im Risikomanagement-Prozess und entwickeln/betreuen das Risikomanagement-System ganzheitlich weiter Sie unterstützen bei der Ausgestaltung der BI Funktion im Controlling Sie treiben den Aufbau von KI und Machine Learning voran, z.B. im Reporting, Risikomanagement, Schnittstelle zur Unternehmensplanung Dabei arbeiten...

Ihre Aufgaben Unterstützende Forschungstätigkeiten im Bereich Machine Learning (Datenaufbereitung, Visualisierung, Pilotierung einfacherer Algorithmen) Mithilfe bei der Bearbeitung von Kooperationsprojekten und bei der Vorbereitung neuer Forschungsthemen Mitarbeit bei Konzeption und Aufbau von Machine Learning Demonstratoren Organisatorische Aufgaben zum Betrieb der Schaeffler Forschungseinrichtung Schaeffler Hub for Advanced Research at Friedrich-Alexander-Universität Erlangen-Nürnberg (SHARE at FAU) Pflege von internen und externen Webseiten Patent- und Marktrecherchen Ihr Profil Student/-in der MINT-Fächer, idealerweise abgeschlossenes Bachelorstudium Programmierkenntnisse, idealerweise in Python Erste Erfahrung im Umgang mit neuronalen Netzen wünschenswert Sehr gute Deutschkenntnisse und gute Englischkenntnisse Sehr gute MS Office Kenntnisse, insbesondere MS PowerPoint Hohes Maß an...

Oberkochen or Jena Thrive on innovation at a global technology leader. Develop exciting solutions in a diverse, stable work environment that’s focused on the future. Join us in a modern work environment with an open and inspiring culture and colleagues! You want to pioneer? In current machine learning applications the physical basis of optical imaging is hardly taken into account and one is often limited by the amount of available training data. In current optical development processes machine learning based methods play only a minor role. Your role is to change that. Integrated in a team you will advance ideas from academic stages to industrial product development. This comprises conceptional work and taking the initiative as well as implementing virtual prototypes and evaluating their performance. During your work you will build an excellent network with us in both academia and industry that will help us to leverage the latest technology advancements in order to address...

In this Position you will develop and integrate Machine Learning Models in our global IT-environment in production and be the key contact for the stakeholders. In your new role you will: support as a  Data Scientist  the product development with data analysis, digging into various data sources (internal and external) , finding ways to increase business value together with a software developers and business stakeholders evaluate, prototype and develop AI models  for evolving use cases together with business contacts (e.g. using Python) develop software for artificial intelligence system solutions  in the domain of semiconductor manufacturing and be responsible for maintaining the SW lifecycle become key contact for  global and multicultural stakeholders  in the area of manufacturing data analytics drive scaling and deployment of existing AI  solutions to other sites in our global manufacturing cluster You are best...

Despite millenia of knowledge regarding the therapeutic potential of plants, more than 99% of the small molecules within this kingdom of life remain unexplored. Terra Lumina is on a mission to empower a healthier humanity by unlocking the therapeutic potential of nature. We leverage cutting-edge approaches in cheminformatics, computational biology & machine learning to build a highly-scalable, AI-powered Natural Product Discovery platform. Our platform illuminates the connection between nature’s small molecules & the human body - accelerating discovery of novel therapeutic compounds that address humanity’s most pressing health challenges. Our venture is incubated at Merantix, an AI Venture Studio which conceptualizes, builds and scales machine learning companies. Our network is made up of more than 80 engineers, scientists, and entrepreneurs from leading universities. We are an equal-opportunity employer and value diversity. We consider all applications equally...