30 Machine Learning jobs

Magazino ist ein Tech-Startup und Roboterhersteller aus München. Unser Team von Hard- und Software-Ingenieuren ist führend in der Roboterprogrammierung und ‑entwicklung. Unsere Roboter arbeiten parallel zu Menschen – autonom, sicher und auf einem Komplexitätslevel, das noch niemand vor uns erreicht hat. Mit über 100 Mitarbeitern sind wir das größte Advanced Robotics-Team Europas. Your tasks You will be working in close cooperation with a team of other experts on improving our robot’s grasping and perception system Maintain and develop our Cloud infrastructure for machine learning, data analysis and remote robot operation Development and deploy of machine learning algorithms for the robot perception and manipulation behaviors to the cloud Design and maintain data storage and streams from live systems to the ML pipelines Analyze data incoming from our distributed robot fleet and derive action from it Your profile Computer Science, Electrical Engineering or comparable studies Coding knowledge in Python Working experience in the EU for 1+ year(s) Experience in machine learning methods, preferred with frameworks like Keras or TensorFlow Experience in cloud infrastructure, preferred with GCP Ideally experience in cloud orchestration, e.g. with Kubernetes or Polyaxon Ideally experience in computer vision or robot control Ideally experience with infrastructure as code What we have to offer A future-oriented job in a quickly growing startup High personal responsibility & room to maneuver An innovative team with flat hierarchies 100 % startup atmosphere and regular team events

Company Overview: Our client is leading the charge as one of the hottest start ups to come out of Berlin with a focus on building a world class recommendation system. Through our clients mobile and web application they have launched a new streaming search platform to access your favourite movies and TV series in a simplified way. Lead a team of ML engineers and grow the ML Function, work closely with the CTO in a challenging environment with an open feedback culture and a strong focus on personal development An ideal candidate has some of the following skills: Advanced knowledge   (4+ years) Python, Pytorch or Tensorflow. Recommendation System Experience. +3 Management Experience: Leading and developing teams. Machine Learning/ Analysis tools:   PySpark, MlLib, Numpy, Scikit, Pandas Want to be apart of this company's continued success email conor@alldus.com

Insiders Technologies zählt zu den erfolgreichsten IT-Unternehmen Deutschlands. Mit innovativen Softwarelösungen auf der Basis Künstlicher Intelligenz begleiten wir weltweit Unternehmen bei der digitalen Transformation. Innovationen entstehen bei uns im Team – dabei setzen wir auf moderne Methoden und ein kreatives Arbeitsumfeld. Werden auch Sie Teil unseres dynamischen Wachstums! Ihre Aufgaben Sie verantworten die Beschaffung und Verwaltung von Test- und Trainingsdatensätzen für laufende und zukünftige Entwicklungen im Bereich Machine Learning In Absprache mit dem Produktmanagement und dem Bereich Kundenprojekte definieren Sie die Anforderungen an die erforderlichen Datensätze Sie überwachen die Fortschritte in den R&D-Teams sowie im Bereich Kundenprojekte auf Basis der Erkennungsraten auf den Datensätzen Sie überprüfen die Datenqualität durch Vollständigkeits- und Plausibilitätsanalysen Sie kommunizieren mit Kunden, Dienstleistern und dem Team Kundenprojekte, um Quellen für neue Datensätze zu erschließen Sie koordinieren die Strategie und das Konzept für die Sammlung von Trainingsdaten auf Basis von Cloud-Services Unterstützung bei der Projektarbeit sowie bei der Weiterentwicklung und Optimierung unserer Produkte und KI-basierten Cloud-Services Sie koordinieren die datenschutztechnische Beurteilung von Datensätzen in Zusammenarbeit mit dem Datenschutzbeauftragten und sonstigen Stakeholdern Ihr Profil Erfolgreich abgeschlossenes Studium mit gutem statistischen und technischen Hintergrund wie Wirtschaftsinformatik, Wirtschaftsmathematik, BWL oder ähnliches Sehr gute Kommunikationsfähigkeiten gegenüber externen Kunden sowie internen Stakeholdern Ausgeprägte analytische Fähigkeiten und eine selbstständige Arbeitsweise Berufserfahrung im IT-Bereich wünschenswert Erfahrungen mit einer Programmier- oder Skriptsprache wünschenswert Cloud-Erfahrung (AWS o.ä.) und die Bereitschaft, sich in komplexe bestehende Strukturen einzuarbeiten Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift Sicherer Umgang mit MS Office (Excel, PowerPoint und Word) Begeisterung und Know-how für unterschiedliche technologische Ansätze und Produkte

WHAT YOU WILL DO Conception and implementation of complex machine learning projects, including acquisition and preparation of training data, model selection, training and evaluation, as well as deployment to production environments Processing of time series containing position and accelerometer data Development of automated machine learning pipelines, e.g. using Amazon Web Services Coordination with customers in international sports projects Close collaboration with our application developers in order to create visualizations of the events and statistics WHAT WE ARE LOOKING FOR University degree in computer science or a similar qualification Deep technical understand and multiple years of practical experience in machine learning / deep learning Experience with machine learning toolchains used in production, ideally on Amazon Web Services Experience with regression and event detection on time series, ideally on position and/or accelerometer data A broad tactical and technical understanding of specific sports (e.g. basketball, soccer or American football) is advantageous for developing the corresponding algorithms WHAT YOU CAN EXPECT At KINEXON you will meet like-minded people that are enthusiastic about innovative technology and passionate about solving new challenges as well as building great things as a team. Creative freedom and active participation in innovative hardware and software solutions An office in the heart of Munich The possibility to work regularly from your home office 2000 Euro budget for further education per year Numerous employee events such as hut weekends, Wiesn, team and sports events Tech-Talks with external and internal speakers Feel free to check out our Instagram WeareKinexon About us Everybody's talking about the Internet of Things. We do it. We locate and connect objects, people and processes in real time so that they interact with each other in the quickest and most intelligent way. With our technology we revolutionize innovative, internationally active players in production, logistics, professional sports and media. Whether Smart Factory or live data-based sports analysis - BMW, Continental, Red Bull, the Handball Bundesliga, various football Bundesliga clubs, around 70% of all NBA clubs and many more customers rely on our technology. In order to further advance our innovative ideas and bold visions, we are looking for committed and inquisitive talents like you!

We are looking for a NLP - Developer to join our IT team. You will be working closely with one of our four Founders and the Alyne NLP Team, delivering a high quality SaaS product to our business customers with innovative features paired with a great and fun user experience. You will be investigating new NLP models and prototype solutions, evaluating ideas to gain insights into their strengths and weaknesses. The job will also involve data preparation, engineering NLP machine-learned models at scale, design and implement ML and NLP, and incorporate those into our Alyne platform. We write everything in Python, using open-source frameworks and libraries. The overall goal is to make Alyne more intelligent. There are many difficult problems to solve, so we're always open to new ideas and ways of thinking. We are a growing StartUp and therefore you should have a solid understanding and hands on experience with developing concepts, patterns, algorithmic complexity, paradigms and modern libraries. You have a good attention for detail and don't just work on code, but bring a product to life. JOB DUTIES Incorporate latest NLP research developments into our production pipeline Broaden the machine learning adventure at Alyne to non-NLP areas WE ARE LOOKING FOR University degree in Computer Science or Mathematics, preferable with AI specialisation Solid experience with Natural Language Processing Experience building production-ready systems using deep learning methods Python - numpy, pandas - knowledge in at least one deep learning framework Tensorflow, keras, pytorch Experience in AWS in at least 3 services - Sagemaker Knowledge and experience with HTML5, CSS, Ember.js/Angular or other SPA, Node.js and NoSQL databases, such as MongoDB, Neo4j, Redis and others Git Fluent written and spoken English. Good proficiency of German might be advantageous, but not necessary Analytical skills and enthusiasm for the latest developments in the IT sector WHAT WE OFFER Modern tech, get your own Mac Low admin bureaucracy in a self driven environment Continuous training on skills, competences and tools Opportunity to develop your talent and focus areas in a dynamic team with ambitious goals Development of tech products highly relevant to our customers with direct feedback from our customer-facing teams Use latest technologies in productive environments, e.g. Machine Learning, Serverless technologies and more Direct collaboration with the Alyne founders Team events - the Octoberfest and a beer garden are just around the corner ;) ABOUT ALYNE Your Success. Our Mission. At Alyne, we build the technology to help organisations navigate the complex world of cyber security, risk and regulatory compliance without slowing business down. Founded in 2015 with the vision to build technology that is easy to use and that simplifies risk management for all organisations — big or small. Today, Alyne's team operates out of Munich, London, New York and Melbourne.

Senior Machine Learning Engineer Location:   Berlin Industry:   Food Delivery Salary:   up to €73,000 Opportunity for a Machine Learning Engineer to join a company and help them to build a Machine Learning Lab team that is being built from scratch. After checking the data of every team, the conclusion has found out that the quality of data is the restriction from making this happen. Now they have created a Big Data Lake. The plan is for the Data Lake to function like IBM’s Watsons and be the all in one place for data gathering and processing. Next steps after this? introduce microservices to the Data Lake. The overall goal of the machine learning lab is to help the company become a Data Driven organisation like Netflix. Day to Day tasks: Build applications, libraries, and services to help deliver delightful data-powered experiences to our customers. Build end-to-end ETL pipelines to enable training and running of machine learning models on structured and semi-structured data. Optimize the reliability, efficiency and agility of machine learning, computational, and data processing pipelines. Tech Stack used in the lab: Programming Languages:   Python (Primary), Java, Scala Cloud Stack:   AWS, Google Databases:   SQL, NoSQL, Hadoop, Spark, Cassandra, MongoDB, Redshift Machine Learning/ Analysis tools:   PySpark, MlLib, Numpy, Scikit, Pandas ETL/ Cloud tools:   Kinesis, Glue, DataPrep, DataFlow DevOps/ Microservices Tools:   Docker, Mesos, Kubernetes, Lambda, Cloud Functions, APIGateway, ECS/EKS Cloud Tools:   CloudFormation, Terraform, Travis, CloudWatch, X-Ray, StackDriver If you would like to find out more information about this opportunity, please email me back on Anthony@Alldus.com Join the Alldus AI in Action Berlin Meetup: https://www.meetup.com/AI-in-Action-Berlin/ Listen into the Alldus AI in Action Podcast: https://alldus.com/blog/podcasts/

AbbVie Analytical Research & Development (Analytical R&D) ist eine globale Organisation der analytischen Wissen­schaften, die für alle analytischen Aktivitäten im Zusammenhang mit der Entwicklung der pharmazeutischen Produkte von AbbVie verantwortlich ist.

Job advertisement Id   FT003   online since 05/19 You develop computer vision and deep learning approaches for processing camera and LiDAR sensor data to perform visual/ LiDAR odometry and SLAM. The computer vision based pose measurements shall support and be integrated into the ANavS sensor fusion framework for precise position and attitude determination. Alongside the focus on precise positioning, the precise mapping and the interpretation of the environment are in focus as well. You will explore and develop machine learning and state-of-the-art deep learning techniques not only for processing camera and LiDAR data, but also for performing monitoring of sensor inputs, filter states and (intermediate) outputs of the sensor fusion framework. Your tasks: Development of computer vision and machine learning/ deep learning approaches to perform visual/ LiDAR odometry and SLAM from camera and LiDAR data and to perform analysis and interpretation of the environment Development of machine learning/ deep learning approaches to monitor the sensor fusion inputs, states and outputs Integration of computer vision supporting sensors, such as IMU and wheel odometry Integration of precise GNSS-based pose measurements for high quality mapping Implementation of interfaces between computer vision derived measurements and the sensor fusion framework Multi-sensor calibration incl. camera calibration, multi-sensor spatial and time calibration/ synchronization Contribution to the development of a general computer vision framework Evaluation of developed positioning and mapping solutions Contribution to application-driven customer projects, as well as research-oriented funded projects Bringing developed solutions towards product stage Patenting/ publishing of developed approaches is encouraged Your profile: Experience in computer vision and machine learning/ deep learning (at least 2 years) Computer science degree (or comparable) Well-founded knowledge in C++ programming Well-founded knowledge of (visual) SLAM techniques Experience in processing camera and LiDAR data for localization and mapping Experience with deep learning frameworks, such as TensorFlow or Caffe Practical experience in designing, developing, training and evaluating deep neural networks that solve computer vision tasks, such as detection, segmentation and tracking on camera or LiDAR data Preferable experience in using ROS, Python and GPU programming (CUDA) High motivation to contribute to the technical development, ability to work independently and willing to adapt to flexible tasks Team player with quick perception, reliability and accuracy Good communication skills in English and German

Shaping the future of mobility We are Aptiv - a global technology company that has been setting standards in mobility for over 24 years. With 160.000 specialists in 45 countries, 3.000 of them in Germany, Aptiv is one of the most important market leaders in the design, engineering and implementation of solutions for the future of mobility. We develop innovative software, build the appropriate hardware and bring autonomous cars, the networking of vehicles and Smart Cities to life in a way that only we can. At Aptiv, we not only envision a safer, smarter, greener and better connected world; we make it a reality today and set the standards for tomorrow. Your thesis at Aptiv Are you looking for a suitable company for your thesis? Together with our experts in the fields of autonomous driving or active driver assistance systems, you have the opportunity to benefit from our know-how and achieve your degree with us as your partner. Your advantage with Aptiv: You will find the entire range for the mobility of tomorrow in our company. Smart Cities, Connected Cars, Autonomous Driving, Radar and LiDAR development, Computer Vision, Artificial Intelligence (AI), Machine & Deep Learning as well as systems that save lives by actively preventing accidents can be found at Aptiv. If you are interested in sustainability and technology and are also enthusiastic about the mobility of tomorrow - then you have come to the right place! We are looking forward to talking to you! If you are a student enrolled in Germany in the fields of Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or an equivalent course of study and the key areas Machine Learning and Computer Vision suits you, please send us your application with your curriculum vitae, your current university transcripts and your start data. What we offer you: In addition to our special knowledge, you also benefit from our experience in supervising graduates who have completed their thesis in our company. During your time at Aptiv you have full access to our tools, the know-how of our employees and you work independently on your topic. The process: You will be directly integrated into the daily work of the team and will be assigned to an employee of that team to work alongside you. She or he is responsible for your direct supervision and also acts as a mentor during your time at Aptiv. After finishing your thesis, you will give a final lecture at our location and present your results to the respective department. After you have already got to know us as a company, we are sure that we have also convinced you as an employee. We are always searching for competent and motivated young employees who we can welcome into our team. Aptiv offers you very good entry and career opportunities in one of our numerous locations in and outside of Germany after you have successfully completed your studies. Background: To increase the safety and comfort of passengers in a vehicle, driver and cabin state sensing technology is evolving Future cars will be equipped with various in-cabin sensors including cameras to monitor the interior of vehicles Aptiv is a leading supplier for driver monitoring (drowsiness, distraction) and gesture control solutions Aptiv engineers are currently working on the next generation of in-cabin sensing technology Responsibilities: Research and Implement novel machine learning and computer vision algorithms in the area of in-cabin sensing Develop prototypes for new features and use-cases Qualifications: On-track for a Master’s degree in in areas of Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field practical experience with, machine learning/statistics/image processing/computer vision Experience with one or more ML frameworks like Tensorflow, PyTorch, Keras etc. Fluency in Python or C++ Enrolled Student in Germany Work environment: International team of Machine Learning and Computer Vision Engineers Primary language: English (and German) Proximity to other students and PhD candidates Are you interested in this position? Awesome! We look forward to receiving your application. Please also provide your current university transcripts and your earliest possible start data to us, when you apply. If you have any questions or would like to find out more about the position and Aptiv, please contact Mr. Rajiv Nehring, Talent Acquisition Student. He is happy to assist you and is available by e-mail at rajiv.nehring@aptiv.com. Further information about Aptiv can be found on our website www.aptiv.com and on our YouTube channel www.youtube.com/aptiv. Our employees will also introduce themselves to you at www.aptiv.com/our-people. Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Data Analytics and Machine Learning - Internship, Bachelor, or Master thesis (w/m/d) Do you enjoy analyzing, exploring and identifying solutions to solve complex problems? Join us at Boeing Global Services Research and Rapid Development Lab in Frankfurt to advance digital solutions for the aviation industry across a multitude of domains: flight, maintenance, and operations of fixed wing, rotor and unmanned aircraft. As part of the Research and Rapid Development team your task will be to analyze aviation data and apply machine learning algorithms and concepts to provide new insights. You enjoy deriving mathematical optimization algorithms and are capable of combining scientific papers, literature and data sources together to define and develop unique solutions for the aviation industry. You will coordinate your efforts across an international research and product team. You should be ready and excited to take on an internship/thesis at the front-end of innovation and to build the future of the digital aviation. You will work in an interdisciplinary environment, located at Neu-Isenburg, Germany and be in connection with stakeholders worldwide Preferred skills: Strong background in data analytics, data mining and machine learning Strong skills in programming languages (e.g. Python or R) Ability to speak German Ability to think analytically and you have strong communication skills Flexibility and adaptability within an international research team with a strong focus on research and development of industry leading innovative aviation processes, digital products and services. Highly motivated team player and willing to increase your knowledge in new areas such as, digitalization, autonomy, market research, consulting, engineering, human factors or computer science theories to create advanced aviation research and product concepts Past internship or work experience related to this position considered a plus International exposure from your studies and/or work experience a plus Basic Requirements: Currently enrolled in a Bachelor/Master's degree program in Data Analytics, Machine Learning, Data Science or a similar field of study Fluent in English; University mandated internship or thesis Please attach resume and motivation letter in English. Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity (weiblich/männlich/divers/offen gelassen), age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Important information regarding this requisition: Relocation is not available with this role. All information provided will be checked and may be verified. Please apply ASAP for this role as recruitment may commence before the end date. This requisition is for an international, locally hired position. CANDIDATES MUST HAVE CURRENT LEGAL AUTHORIZATION TO WORK IN GERMANY. BOEING WILL NOT ATTEMPT TO OBTAIN IMMIGRATION AND LABOR SPONSORSHIP FOR ANY APPLICANTS. Make sure you list all of the Countries in which you are a citizen. If you have work authorization for a country that you are not a citizen of, please explain this on the top of your resume. Benefits and pay are determined at the local level and are not part of Boeing U.S.-based payroll. At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

Evotec is a leader in the discovery and development of novel small molecule drugs with operational sites in Europe and the US. The Company has built substantial drug discovery expertise and an industrialized platform that can drive new innovative small molecule compounds into the clinic. In addition, Evotec has built a deep internal knowledge base in key therapeutic areas including neuroscience, pain, inflammation, oncology, metabolic and infectious diseases. Leveraging these skills and expertise the Company intends to deliver superior science-driven discovery alliances with pharmaceutical and biotechnology companies. At our subsidiary in Goettingen, the Bioinformatics and Biostatistics department is seeking a highly motivated and dedicated Machine Learning Scientist (f/m/d) full-time and permanent to join the newly formed machine learning team. Your key responsibilities Design and implement machine learning algorithms tailored for drug discovery Handle a plethora of data sources (including transcriptomics, proteomics, metabolomics, image data, and information on chemical compounds) Collaborate with colleagues which are experts in bioinformatics or drug discovery and with scientists working in the lab Communicate and present results internally and externally Your qualifications M.Sc. or Ph.D. in computer science or in a related STEM field Strong programming skills in at least one programming language (preferably in Python, R, or any C derivate) Basic mathematical knowledge required to read research articles in the field Experience with either traditional machine learning or deep learning algorithms is a strong plus Drug discovery or medical experience is a plus Excellent communication skills with the ability to interact professionally with all levels of staff, collaborators, and customers Experience in working on and with interdisciplinary teams Fluency in English Our offer A permanent position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community Highly responsible tasks, quick decision-making and flat hierarchies A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork Capital-forming benefits, holiday pay and annual bonus payment depending on performance To apply, please click on the “   Apply   ” button and provide your application documents (CV and cover letter including earliest possible start date and salary requirements). We are curious to getting to know you and are looking forward to your application

NETCHECK GmbH, Tempelhofer Weg 39 – 47, 10829 Berlin, Germany NETCHECK is part of NC GROUP a Berlin based medium sized conglomerate with a history of more than 20 years of success in the ICT field. As a fast growing service company with a strong base in central Europe, we are looking for an Machine Learning Engineer who can help us to enter new markets in Europe and or Overseas.Do you want to work within one of the most exciting areas in Machine Learning? We are looking for a Machine Learning engineer to help us with processing Big Data with internal and external customers. YOUR QUALIFICATIONS: 4+ years of professional software engineering experience, including testing and deploying iterative releases of software systems 2+ years experience in applying, implementing, and/or developing algorithms for machine learning or statistics 3+ years of professional experience in C# and/or C++ 3+ years of professional experience in Python and/or R OUR OFFER: Demanding and varied tasks Multicultural, medium-sized, international company An open and friendly working environment Opportunity for independent project management Flat hierarchies with short decision paths Modern workplace in a central location in Berlin Flexible Working Hours Gym Membership Free soft drinks and coffee

We are looking for a Senior Machine Learning Engineer that will help us build the intelligence behind our systems. You will apply the latest machine learning algorithms to improve the lives of people and to help doctors in their diagnosis. In this role, you will have high responsibility and a strong impact on the company's success. You will be part of our engineering team consisting of machine learning engineers, backend, Android and iOS developers. You will play a leading role in every part of our machine learning lifecycle: from the initial research to the production-level implementation, from discussing long-term goals, to making post-release micro-improvements. Being an expert in machine learning technologies, you also guide and coach other machine learning engineers at xbird. You are able to navigate yourself quickly through the sea of machine learning literature, keeping our concrete goals as a compass. You will decide the best model for every problem, and will be keen to implement that in practice (Python). You are able to explain your choices at any level of detail, from discussing the activation function of your neural network convolutional layer to the most accessible explanation of your goals and results. You take ownership of core projects of our company and we can rely on you to drive them forward proactively. We look forward to welcoming you as part of the xbird team! You are deeply familiar with state-of-the-art machine learning algorithms and models. You know how to navigate and consume research literature. Your experience in designing and applying machine learning algorithms is at a Ph.D.-level, or an equivalent professional experience. You can build a model of reality, validate it, and quantify your errors. You know how to fine-tune your hyperparameters, optimize the results, and eventually optimize the performance. You are comfortable with statistical modelling: applying concepts from statistical inference, hypothesis testing, descriptive statistics to analyze real data. You have 3+ years of practical experience in taking machine learning projects from idea to experiment, to prototype, to implementation, with little supervision. You have 3+ years of experience developing in Python. You are very familiar with Python libraries and tools for data analysis and machine learning. You have experience in deploying solutions to cloud and virtualization environments. You have strong communication skills and are good at sharing your knowledge. experience in coaching and guiding other machine learning engineers. Experience with human activity recognition is a big plus. Experience working with mobile sensor datas is a plus. Familiarity with graphical models or Bayesian networks would be appreciated. Experience with human activity recognition or with digital health problems is a big plus. You enjoy what you do and want to work with people who share your passion

Vertical Scale is a Berlin-based business and technology consulting company. With our international team of developers, scientists and entrepreneurs, we support companies to apply latest technology like Artificial Intelligence or Blockchain to their operating business model. Our cooperation partners include SMEs, corporates, universities and investors among others. These will be your tasks You will work with the Data Science team to develop software based on the results of their processes You will communicate with the domain experts within Vertical Scale and beyond to include domain knowledge into your analysis Assist in building a Cloud software product You will enable ideas by experimenting with many techniques to evaluate the most suitable one; if a solution exists and if the business case is validated, it will be further developed into a product Train, deploy and serve machine learning models in production You're offering these qualifications University degree with a focus on technology, computer science, mathematics, engineering, business administration, economics or a comparable qualification with a quantitative background Proficient knowledge in machine learning, especially supervised methods Experience in deploying and serving machine learning models in production Experience with TensorFlow Serving and Cloud platforms would be useful Nice, but not a must have: experience in classical/inductive statistics, artificial intelligence Analytical and innovative way of thinking, eagerness to experiment as well as the ability to multi-task Good English and/or German skills We're offering these benefits You enjoy flexible working hours from the beginning including the possibility of home office You work directly together with the management team on upcoming challenges and projects You get the opportunity to implement own ideas and to fully develop your potential You will be part of an international, young, open-minded and dynamic team Since we are a relatively young company (established in 2017), we have a startup-like working atmosphere. For that, we offer various opportunities for you to grow with us, fitting your career goals. We are looking forward to getting to know you!

Your Role You will help to develop the heart of our product - our database and our matching algorithm - together with our development team You will implement innovative network functions You will conduct statistical analysis, develop machine learning methodologies and model estimation You will be responsible for further development of our Data & Analytics products and services Your Skillset Good quantitative analysis, programming, and statistical modeling skills Natural affinity towards number crunching as well as for digital technologies. Intrigued by building something up from scratch and developing your own idea You are interested in the following topics: Big Data, Machine & Deep Learning and Artificial Intelligence Love one of these: Java, Spring Boot, JQuery, MySQL An added bonus would be an interest in or experience with Natural Language Processing Your Benefits An experienced team, flat hierarchies and a dynamic start-up atmosphere We actively shape your job profile based on your individual strengths, experiences and ideas The choice is yours: Apple or Windows, coffee or beer We are tech-driven through and through! Our developers are constantly expanding their knowledge and developing our solutions further Free German classes, if needed Interested? We are looking forward to your application via Campusjäger or to Jonathan info(at)neasy.de

We are Covestro. We are curious. We are courageous. We are colorful. We refined Chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place. WHAT WE OFFER The Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advice on all these topics. Other tasks include establishing, running and mentoring the global Advanced Analytics community, harmonizing the distributed analytics activities within Covestro and establishing an outside network with research institutes and other corporates. This is your chance to shape the future of ML/AI at within an established corporate In your new role, you will contribute to bringing machine learning solutions to life and productionizing them on our deployment architecture You will actively contribute to solving large scale challenges in the machine learning development cycle, especially around distributed training in the cloud and data engineering Furthermore, you will be responsible for keeping the existing models up to date, will track model degradation, setup autonomous retraining mechanisms and manually retrain the model, if necessary You will responsible to manipulate and harmonize data (structured, semi- and unstructured) from various sources to speed up our model building process You will participate in the definition and realization of an efficient micro-service architecture solution You will advise and consult colleagues from various parts of the company on how to leverage existing infrastructure Additionally, you will ensure adherence to standards and best practices for the machine learning lifecycle at Covestro WHAT YOU OFFER You hold a university degree (pref. Master or PhD) in mathematics, computer science, computational engineering or a related discipline You have long-term experience in the machine learning engineering domain in an international environment and with virtual teams Also, you have experience in setting up machine learning deployment architectures and are intimately familiar with Kubernetes, Docker, serverless computing and the offerings of the big cloud providers You also have experience with tools and frameworks like Hadoop, Kafka, Spark, with SQL and noSQL databases as well as with edge computing Furthermore, you are experienced with programming/scripting languages like bash, perl, ruby, python and R You have an entrepreneurial mindset and you are happy to work on a variety of different business problems You are an open-minded personality and an approachable Team Player (m/f/d) You are comfortable with working in a fluent, dynamic and fast-paced environment and the opportunity to shape the future of ML/AI at a large corporate excites you The ability to convince, explain and present to colleagues from different fields and different managerial levels is among your key competencies Fluent English skills, written and spoken, as well as willingness and ability to travel internationally, round up your profile YOUR APPLICATION Are you curious, courageous and colorful as we are? If so, we can offer you exciting career opportunities. We look forward to receiving your application including a cover letter, your resume, certificates as well as your salary expectations and your notice period. Become part of our Team - apply now! Anyone who wants to contribute to a better world with Covestro can also expect a lot. We want you to feel at home at Covestro. To feel you’re treated fairly and transparently. That means financial security, a healthy work-life balance and generous benefits. Specifically, it means for us: flexible working hours, the compatibility of family and work, active health promotion and the ability to convert part of your salary into long-term or retirement savings. And that's not all. Sounds exciting? Find out more about Covestro and our benefits here: https://www.career.covestro.de/de/about-covestro/covestro-as-an-employer/employee-benefits

Arbeiten bei MaibornWolff Vielfalt Mitarbeiterinnen und Mitarbeiter aus 30 Nationen Frauenquote 31% Weiterbildung 5 Tage forschen pro Jahr > 6 Tage Schulung pro Jahr 1 Monatsgehalt Bildungs-Budget Arbeitsklima 10 Jahre in Folge prämiert bei Great Place to Work 7 Mal bester Arbeitgeber in der IT 3 Tage Firmenseminar im Jahr Work-Life-Balance Fast alle Väter gehen in Elternzeit Arbeitszeitkonto Cafeteria & Obst kostenlos Viele Teilzeit-Angestellte Mit Deiner Begeisterung für Software Engineering und Machine Learning gestaltest Du unseren jungen Bereich Data Science & Artificial Intelligence von Anfang an mit und kannst Dich dabei verwirklichen. Du beschäftigst Dich mit cutting-edge AI-Infrastrukturen und AI-Technologien, entwickelst Prototypen, MVPs und deployst skalierbare real-world AI-Applications in produktive Systeme, um Millionen von Nutzern zu erreichen und die Welt weiter zu verbessern! Wir lieben das Teilen unserer Leidenschaft für Daten und Lernalgorithmen: Research, Tech-Konferenzen und Meetups erweitern unseren Blick als Forscher und Forscherinnen, Besucher und Besucherinnen oder Speaker.Open Source ist uns wichtig, gerne geben wir der Sof tware Community etwas zurück und vernetzen uns aktiv. So überzeugst Du uns: Das Studium der Informatik oder ein anderes technisches Studium hast Du mit Erfolg abgeschlossen. Coden und Research ist Deine Leidenschaft, z.B. in Java, Python, C++ etc. Du kennst Dich mit Cloud und Containern aus, z.B. Docker, Kubernetes, Openshift, Kafka etc. Du baust nutzerfreundliche UIs, effiziente und skalierbare Microservice-Architekturen oder forschst gerne an modernen Lernalgorithmen Du arbeitest gerne mit Tensorflow, Pytorch, Sklearn, Keras etc. Bei MaibornWolff lernst Du täglich dazu.   Du entwickelst Dich fachlich und als Mensch weiter - und bleibst immer Du selbst. Wir sind ein buntes Team und genau das wollen wir auch bleiben. Wir suchen für unser Team Menschen, die einen hohen Anspruch an sich selbst und an die Qualität ihrer Arbeit haben. Er drückt sich in exzellenten Ergebnissen aus. Aber auch in partnerschaftlichem Zusammenarbeiten mit unseren Kunden und einem wertschätzenden Miteinander im Team. Humor, Individualität und Pragmatismus prägen unseren vielleicht etwas untypischen Beratungsstil. Was uns antreibt, ist die beste Lösung für unsere Kunden zu finden und zu verantworten. Was wir suchen, ist Souveränität, die auf Kompetenz und Bescheidenheit beruht. Was wir erwarten, ist Deine Leidenschaft, gemeinsam etwas aufzubauen.

About the Role: This is a fantastic opportunity to join the core group working on Speech Recognition at SoundHound Work on building large scale Statistical Language Models, a critical system in Speech Recognition Run experiments and tune parameters to improve Statistical Language Models Build prototypes to explore novel methods/algorithms to improve the Statistical Language Models Identify new techniques to explore, prototype them, and then implement winning ideas in production Requirements: Proficient in one of Java or C++ or Python Excellent algorithms skills and ability to write efficient code Good understanding of Machine Learning algorithms Strong problem solving and communication skills BS/MS in Computer Science or equivalent A level fluency in written and spoken English and German Nice-to-haves: Experience building production systems based on Machine Learning lifecycle Experience with application of Deep Neural Network methods to Natural Language Processing problems Familiarity with Statistical Language Modeling Familiarity with MapReduce/Spark and other relevant infrastructure Experience working with Speech Recognition technology

SoundHound entwickelt Technologien, die das Leben verbessern. Ein großes Portfolio an Technologien und preisgekrönten Produkten sprechen für sich. Unsere Speech-to-Meaning™ Engine liefert Geschwindigkeit und Genauigkeit bei der Spracherkennung. Unsere Deep Meaning Understanding™ Technologie beantwortet mehrere Fragen auf einmal. Wir sind finanziell gut abgesichert, bleiben aber ein Start Up mit flachen Hierarchien und kurzen "Dienstwegen". In unserem aufgeschlossenem Team werden über 20 sprachen gesprochen. Wir legen Wert auf Kreativität, Innovation, harte Arbeit und transparente Kommunikation. Auf Feedback reagieren wir mit schnellen Iterationen. Für die Weiterentwicklung unserer Kerntechnologie im Herzen Berlins suchen wir Verstärkung! Wende Techniken des deep learning an und erstelle Neuronale Netze Trainiere akustische Modelle für unsere ASR Entwickle neue deep learning Methoden zur Spracherkennung über den Stand der Technik hinaus Anforderungen Weitreichendes Verständnis für aktuelle Methoden im Machine Learning Erfahrung mit Frameworks für Deep Learning und Neuronale Netze wie zum Beispiel Tensorflow, PyTorch, Caffe, Torch, MxNet, etc. Langjährige Erfahrung in C, C++ und mindestens einer weiteren Programmiersprache Stark in Algorithmen, Wahrscheinlichkeitstheorie und Statistik MSc, PhD oder ähnlicher Titel in Informatik, Mathematik, oder einem verwandten Fach Fließend Englisch und Deutsch in Wort und Schrift Von Vorteil Erfahrung mit ASR Systemen Erfahrung mit Speaker Identification und Keyword Spotting Methoden Erfahrung in Computer Vision und Pattern Recognition Tiefes Verständnis der Prinzipien der digitalen Signalverarbeitung, wie zum Beispiel Noise Reduction und Echo Cancellation Das SoundHound Hauptquartier ist in Santa Clara, CA. Die Kommunikation mit Kollegen findet überwiegend auf Englisch statt. Bitte bewirb dich daher mit einem englischsprachigen Lebenslauf und Anschreiben.