This vacancy aims at developing new data analytics, visualizations and control solutions by cutting edge techniques from Machine Learning and Data Mining. Successful methodologies may be included in ASML customer applications.
Do you enjoy solving algorithm design problems for the semiconductor metrology industry, with demanding time, accuracy, and memory requirements? This opportunity might be for you!
We are looking for a Researcher to join the Data-Science Research team. One of the research topics is looking into ways to bring service and diagnostics of complex systems to the next level, by applying Artificial Intelligence (i.e. Knowledge Extraction/Representation) and combining it with system diagnostic data to support reasoning.
As part of the ASML Silicon Valley Team you will be part of a dynamic team working on holistic solutions for semiconductor patterning. Work with R&D and Product Engineering to integrate and verify new Machine Learning algorithm and utilities on our platforms
We’re looking for a Hue Data Scientist/Data Engineer to join our Philips Hue team, working on Data Driven use cases.
We’re looking for a Full Stack Developer for Mobile Application and Cloud Backend Development to join our Philips Hue team, working on Data Driven use cases.
We’re looking for a Full Stack Developer for embedded and Cloud Backend Development to join our Philips Hue team, working on Data Driven use cases.
We’re looking for a Full Stack Developer to join our R&D Home Systems & Luminaires organization in Eindhoven.
Want to work on the world’s leading smart home lighting system? Join the global development team of Philips Hue as a Mobile App Developer.
Graduated in Data Science or Computer Science? Join our Cloud Center of Excellence and support in defining strategy and policy for Cloud Computing, driving and implementing SW managed cloud landing platform, running PoC’s and piloting with emerging cloud services (e.g., Machine learning, AI) and support in adapting Cloud technologies.
As Senior Cloud Engineer your challenge will be to bring our Data Lake to the next level. The Data Analytics team enables teams to create insights and to present real-time status information about the IT infrastructure, to optimize the utilization of IT resources and to respond quickly to any issue.
For our Automotive Radar activities, we seek a graduate in Computer Science, EE or Automotive Technologies. Work with the latest radar sensor technologies, pick up new skills in working with embedded systems and sensor fusion, get hands on in creating physical setups with room to grow into a system integrator.
Our CTO Audio Innovation Centre, located in Leuven (Belgium), is a team of creative audio and sensor signal processing experts. Our mission is to come up with differentiating algorithms and solutions for our NXP businesses. Join us to explore and implement innovative audio and sensor algorithms relying on neural networks.
Are you an expert in the field of AI/ML? Within our Innovation department, we are looking for an experienced systems specialist who will drive embedded signal processing for next-generation Radar and Communications solutions and respective technology innovation.
You are a healthy mix between ML expert, software engineer, researcher, and hacker. You’ll be working on our ML models, pipeline, deployment, validation, feature engineering processes, etc. Working with millions of financial data points and transactions of Dutch businesses. We are using ML in production, we’re big on CI, automated testing and kanban.
Write your thesis and perform research with us if you’re doing a masters in data or computer science. Potential topics include: predicting credit risk, applying NLP to classify banking transactions, making our models more explainable, using customer characteristics to predict churn and CLV and transforming our transaction data into graphs.
Work in a fintech that uses ML in production. You’re working on a machine that is sending millions of euros around daily and is helping entrepreneurs to grow their business. You’ll be working on improving and expanding our core platform using Ruby, Rails, Python, ES6, React, Redux, PostgreSQL, Docker and AWS.
Innovation is part of the Greenhouse DNA. That is why we developed Greenhouse Labs: the department where innovation is the central topic. Here we analyze the impact of exponentially growing technologies on digital marketing. Best of all? We do this together with you! Labs has a strong international character. Greenhouse Labs is part of a network of international GroupM Labs. For example, a Lab was opened in Denmark last summer, and there is a good chance that you will work with it.
Are you a talented data scientist with solid machine learning expertise and leadership skills?
In this role, you will develop new and existing ML applications – working with your team and colleagues worldwide to drive operational improvements across the business. Join us and shape our ML platform.
Do you want to join a talented Data Science team and work on machine learning projects with a global impact?
Get ready for a wide-ranging role where you contribute to our ML platform, develop best practices and get hands on with technical implementation. Join us in Amsterdam!
Are you a skilled data scientist who can drive innovative forecasting use cases to power our food delivery experience? Want to use your analytical skills to deliver operational improvements across our global delivery fleet? Then this role has the perfect ingredients.
Are you a machine learning expert with a passion for designing, developing and managing production-grade data infrastructure? Want to work with colleagues worldwide and act as a subject matter expert on data and ML technologies? Then we’re looking for you!
Our Machine Learning Engineering team is looking for talented data engineers to help develop, build and manage data infrastructure for data science solutions. If you enjoy collaborating with colleagues, working with the latest tech and delivering high-quality engineering solutions, this is the place to be.
Do you have solid experience in data science and have a passion for the technical complexities of turning ideas into actual working software? BigData Republic might be the ideal place for you to work on complex challenges in multidisciplinary teams where ML products are developed and brought to production.
Are you experienced in bringing data-intensive applications to production, and do you have a passion for cloud engineering, container orchestration, CI/CD, infrastructure-as-code and building scalable platforms? BigData Republic might be the ideal place for you to help our clients with creating the right platforms to bring their machine learning applications to production.
Are you a software engineer with experience and/or ambition towards machine learning, big data, streaming data and other data-specific engineering challenges? BigData Republic might be the ideal place for you to work on innovative solutions and grow further in your craft.