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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 full stack engineer to join our team of 15+ experienced, diverse, enthusiastic and open-minded people in Berlin. What we do SiaSearch aspires to bring safe autonomous vehicles into European cities. We are building the leading data refinery platform for autonomous driving data. By using SiaSearch, our customers are able to handle the huge amounts of data generated during automated driving in a smart way. We make sure that the efficiency in the development process of autonomous and intelligent vehicles is maximized and the least possible time is spent on cumbersome data screening tasks. In order to build the leading data platform, our whole pipeline needs to be ready to handle those large amounts of data. Therefore we are looking for a strong full stack engineer to enhance our team! You will work directly with leading European OEMs and Tier 1 suppliers in the highly vibrant and rapidly growing industry of automated and intelligent driving. The tasks are diverse and non-repetitive, building a new and innovative system using state of the art concepts and infrastructure. In addition, you will be an integral part of the overall Merantix family to discuss machine learning, data pipelines, deployment and many more topics with our experts and talents working in other ventures. Tasks Conceptualize and build a large-scale data management platform Design and implement an efficient and scalable backend, which is able to handle large amounts of data Work on and with our data pipeline comprising large-scale data processing, database design and our high performance query engine Build a customer-facing API Closely interact with our frontend engineers Work with and contribute to cutting-edge open-source frameworks Requirements BA/BS in computer science or a related technical field You have a track record in building web applications in fast-paced environments You appreciate great user experience as much as awesome tech and software architecture Solid competence in software engineering with Python You gained experience with deploying software on cloud infrastructure like such as GCP, AWS or Azure Experience building and deploying websites and web apps with a web framework (Flask, Django, Phoenix, etc.) Competence and experience with Typescript, JavaScript, CSS and React You have very good knowledge of Git, Docker, development workflow automation and CI and CD You gained experience with databases like PostgresSQL, Elasticsearch, MongoDB or similar and distributed processing frameworks like Apache Spark or Flink You are great at communicating with people, motivating everyone and getting the whole team on the same page You are naturally curious, happy to explore and learn new things Entrepreneurial mindset, hands-on mentality, stress resistance and passion to solve big challenges in a simple way Fluency in English Bonus points MS or PhD in related field Working experience in startup environment Experience with C++ and Scala You already gained experience with big data platforms Expert knowledge in data processing and database design Experience with ROS, ADTF, MDF or other kinds of data used in the automotive industry Advanced German Benefits Our team is made up of entrepreneurs, scientists, and engineers. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. In addition to a competitive salary and fringe benefits (like company hardware or company lunch on Tuesdays), following aspects are central to our company culture: 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 belief in the ownership and responsibility of our people. Professional Development: Be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skillset. 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.

Merantix is an AI Venture Studio located in Berlin. Already today AI automates complex, multi-level processes that used to be dependent on human decision making. Merantix aims to spearhead this development, building the category leaders of tomorrow. At Merantix Venture Studio we build and scale machine learning companies. Through our unique incubation platform, seed financing and exceptional teams of visionary entrepreneurs and engineers, we transfer world-leading research into products that will change existing and create new industries. Merantix currently employs more than 60 team members. Its growing platform constitutes a unique brand with a shared tech and operational infrastructure that attracts talent, resonates with industry partners, and leverages the proven network and product building experience. Tasks Are you passionate about software and data and interested in machine learning? Does the prospect of building applications from scratch excite you? Do you want to play an instrumental role in building deep learning products? Merantix is looking for Software Engineers to join our core team building scalable ventures. Among your main responsibilities will be to: Help our ventures scale their applications by writing production-ready code Work with interesting proprietary data sets (i.e. medical imaging, autonomous driving, IoT sensors, and more) Automate build, test, and delivery Understand challenging domain-logic (i.e. medical diseases, autonomous driving hardware, IT security) Keep our python codebase healthy and easily extendable Develop applications and tools for experimentation, data integration, quality, modelling, etc. You will use modern frameworks and libraries to build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as your work will focus on constantly-evolving projects. Some projects will require special considerations, such as low latency, on-premise deployment, high throughput, one-off language bindings. You will work closely with our Machine Intelligence Engineers, profiting from and enriching their expertise. 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: Basic qualifications: BA/BS in Computer Science or related technical field, or equivalent practical experience Solid competence in software engineering with a common programming language Willingness to pick up new knowledge as needed Ability to work with a large and complex code base Preferred qualifications: MS or PhD in Computer Science or related technical field Experience in designing, implementing and running production services Excellent competence in scientific engineering with Python, including Numpy and TensorFlow Experience working with cloud infrastructure (GCP, AWS) and/or Docker Practical understanding of code optimization and efficiency Knowing and caring about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation Relevant industry experience developing data-driven products Bonus: Skilled with a low-level programming language such as C, C++ or Rust Bonus: Industry experience working with large-scale data processing (Spark, Flink, Kafka) 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: 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 packages, 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; Equal rights, respect and promotion of diversity

Seit der Gründung der BridgingIT GmbH im Jahr 2008 haben wir uns zu einem sehr erfolgreichen Unternehmen mit über 500 Mitarbeitern entwickelt. Als „Brückenbauer“ beraten wir branchen- und herstellerübergreifend an der Schnittstelle zwischen Business und IT zu verschiedensten Technologie- und Themenbereichen. Unsere Kunden schätzen nicht nur die Expertise der Menschen bei bridgingIT, die geographische Nähe zu unseren Lokationen, sondern auch die langjährige und nachhaltige Zusammenarbeit ZDF steht für Sie nicht für einen Fernsehsender, sondern vielmehr für die analytische Methodik wie Sie Zahlen, Daten und Fakten aufbereiten? OR steht für Sie nicht nur für eine Disjunktion, sondern stellt für Sie primär einen Methodenkoffer zur Modellierung und Optimierung mathematischer Problemstellungen dar? Python ist für Sie keine Schlange, sondern Ihre Lieblingssprache? Wenn Sie wie wir auch nur Daten im Kopf haben sind Sie in unserem Analytics Team bestens aufgehoben! Aufgaben Eigenverantwortliche Mitarbeit bei der Umsetzung von Data Science und Machine Learning Projekten Konzeption und Entwicklung von mathematischen Modellen mittels R und/oder Python Programmierung Visualisierung der Lösungen mit Analytics Technologien wie bspw. Tableau, Power BI oder SAP Lumira Bei Interesse: Verantwortung für Weiterbildungsmaßnahmen und Mitarbeiterführung als Projektleiter Unterstützung bei Ausschreibungen, Pre-Sales Terminen Qualifikation Begeisterung für Mathematik, Zahlen, Daten und Digitalisierungslösungen Mehrjährige Erfahrung in relationalen Datenbanken und Data Mining Methoden Fundierte Programmierkenntnisse in R und/oder Python sowie Skills in SQL Motivierter Teamplayer für Kollegen und kommunikativer Berater für Kunden Studium der Wirtschaftsinformatik, VWL, Informatik, Mathematik, Physik oder Ingenieurwissenschaften Benefits Bei uns genießen Sie die Vorteile eines stabilen, stark wachsenden Mittelständlers mit dem Unternehmergeist eines Start-ups. Unsere respektvolle und wertschätzende Duz- und Firmenkultur ist geprägt von Innovationskraft und Teamgeist sowie intensivem, themenübergreifendem Wissens-und Erfahrungsaustausch. Persönliches Mentoring für den optimalen Einstieg, kontinuierliche interne und externe Weiterbildungsmaßnahmen sind bei uns ebenso selbstverständlich wie individuelle Coachings, um Ihnen den unternehmensinternen Aufstieg zu ermöglichen. Durch die geographische Nähe zu unseren Kunden, flexible Arbeitszeitmodelle sowie der Option vom Home-Office zu arbeiten, können wir bei der Planung unserer Projekte Ihre besondere Lebenssituation berücksichtigen. Falls Sie Fragen zur Stelle oder zum Bewerbungsprozess haben, können Sie sich gerne an unsere Recruiting-Ansprechpartnerin wenden!

Unsere Mission: Für die Fertigungsindustrie bieten wir weltweit Industrieservice auf Spitzenniveau. Mit Leidenschaft und Herzblut sind wir Dienstleister für die Automobil- und Fertigungsindustrie. Seit über 50 Jahren verlassen sich unsere Kunden nun schon auf uns. Dabei sind wir projektweise oder langfristig vor Ort in großen oder kleinen Teams. Wie wir das schaffen? Wir sind Menschen, die anpacken: Problemlöser, Multitalente, verlässlicher Ansprechpartner, Wegbereiter und wenn nötig auch mal Feuerwehr. Aber vor allem sind wir eins: Hilfsbereite Kollegen. Unser Unternehmen, mit Hauptsitz in Stuttgart, beschäftigt knapp 20.000 Mitarbeiter weltweit und erzielte im Jahr 2017 einen Umsatz von rund 900 Mio. Euro. Wir sind an mehr als 200 Standorten ansässig, oft direkt in den Werken der Kunden. As service providers to the automotive and manufacturing industries we put our heart and soul into what we do. Our customers have been relying on us for over 50 years now. We take on projects in electrical installation, assembly, automation, maintenance, technical cleaning, facility management and logistics. We’re people who get things done. We are problem-solvers, all-rounders, reliable partners and pioneers, and we’re great at dealing with emergencies where necessary. But above all, we’re here to help. Yet, there is change: Ubiquitous Connectedness, enabling the Internet of Things Industry 4.0 are fundamentally changing manufacturing industries at all levels. Not only will existing products, solutions and services reach new levels of performance - new offers will become possible complementing or disrupting the current state-of-the-art, leading to new and innovative business models. To address the challenges, but more importantly to capture the opportunities inherent to such industry transformation we have set-up the Leadec Smart Factory Group. We are offering an exciting 2 years working assignment under the dual studies program at our corporate headquarters in Stuttgart dual studies program: Digital Pioneer Smart Factory (m/f/x) Ref.NO.: STU2125 Your Mission Drive transformation : Support, manage and drive the processes to refine value propositions for Smart Factory innovation; prepare business cases; facilitate implementation of Minimum Viable Products (MVPs) Tackle tasks:   App and MVP development Gather market Intelligence : Support, review and aggregate relevant market information about start-ups, technology providers, ecosystems, business Models etc. Provide assistance:   Support the Smart Factory Group in documentation and presentation of activities Your Profil Qualification:   Bachelors´ Degree in Computer Science, Business Informatics, Business & Engineering, Electrical Engineering Know-How:   Basic knowledge in innovation management, Agile/Scrum and Design Thinking Methods; experience with e.g. Java/Python, HTML5/JavaScript, Databases (SQL), Sensors, Data Analytics, Machine Learning Personality:   Creative and hands-on mentality; quick and outside-the-box thinking; strong interest in trends and technologies regarding Smart Manufacturing What we offer Team:   Being part of an entrepreneurial and innovative team Opportunities:   A great learning opportunity and good potential for a subsequent job offer Remuneration:   Attractive remuneration commensurate with your qualifications Vacation:   30 days Benefits:   Employer’s contribution to company pension; "Me@Leadec" corporate benefits program for employees Apply now to become part of the Leadec Team! You don’t need a cover letter. For more information on Leadec go to: http://www.leadec-services.com/karriere Contact Career Center Frau Iris Jaus Leadec Management Central Europe BV & Co. KG Meitnerstraße 11 70563 Stuttgart Germany Phone: +49 711 7841 432

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 a combination of Genome-scale metabolic models (GSSM) and machine learning to build the most accurate organismal models to date. Working with our academic and industry partners, you will create ‘in silico’ models to aid in strain optimization. Additionally, you will help build infrastructure that enables data gathering and experimental planning 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, machine learning experts and business analysts to create the newest tools to enable the bioeconomy. Your main responsibilities will include: Augment and develop current GSSMs using the latest in machine learning techniques; Work closely with our academic and industrial partners to design experiments and steer the venture’s part in the collaboration; Deploy models at partners as needed; Keep up-to-date with the latest advances in the field; Drive long-term success by building or integrating new technologies; Manage 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 Chemical or Biological Engineering with experience in metabolomics and machine learning; Exceptional competence in GSSMs and experience in applied machine learning and software engineering and its application in biology; Mathematics background, experience with supervised learning, dynamic systems and control theory, ODE solvers and multivariate statistics; 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. 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 excited about how autonomous driving is going to transform our cities and societies? Are you passionate about huge data sets and machine learning? Do you want to work in a fast-paced environment and take over responsibility and ownership? We are looking for talented data engineer to help us build cutting edge technology in autonomous driving. What we do At SiaSearch our vision is to bring secure L4 and L5 autonomous vehicles (AVs) into European cities. We are building a ​comprehensive, automated data indexing and management platform for autonomous vehicle raw sensor data. We are rethinking and accelerating the whole data pipeline connecting data collection, storage, and function development. Unlike current setups, full automation of the pipeline is at its core. This does not only critically accelerate development and deployment but also makes data storage more efficient by focusing on the important portions of the data. We are currently working with multiple leading OEMs, Tier 1 suppliers and AV startups to speed up and improve software deployment. Our fast growing team is made up of entrepreneurs, scientists, and engineers from premier universities (Oxford, ETH, Stanford, TUM) around the world. Many of us have PhDs and work experience at top tech companies. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Tasks Merantix is looking for a Data Engineer to join our team and help us to build the leading scalable intelligent data platform for autonomous driving. Your responsibilities will include: Design and implement a large-scale data processing engine for AV data Develop applications and tools for data integration, quality, analysis & modelling Conceptualize and build a data management architecture, which is able to scale to millions of AV recordings Technical product integration into customer infrastructure Keep up to date with advances in autonomous driving with a particular focus on data processing You will use cutting edge frameworks and infrastructure that enables training, testing, simulation and deployment of autonomous driving technology of our clients. You will work directly with leading researchers and the management 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: BA/BS in computer science or a related technical field, or equivalent practical experience Experience with distributed data processing frameworks in a production environment, such as Apache Beam, Spark, Kafka Streaming, or Flink Solid competence in software engineering with a common programming language such as Python, C++, or similar 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, MS Azure) Good understanding of trade-offs between different database and storage choices Fascination and enthusiasm for the conceptualization, development and deployment of autonomous vehicles as well as related technologies Preferred qualifications: MS or PhD in Computer Science, Engineering or related technical field Experience architecting complex, highly distributed systems Worked with middlewares / message passing interfaces such as ROS In depth experience scaling cloud infrastructure (GCP, AWS, MS Azure) in production Practical mastery of code optimization and efficiency Understanding advanced sensor setups of autonomous cars, i.e. handling data from camera, lidar, radar, or ultrasonic sensors Bonus: experience working with machine learning frameworks (TensorFlow, PyTorch) 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: Competitive salary and benefits (e.g. company hardware and lunches). 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. 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 off-sites 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.

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