Do you love creating innovative solutions for customers? We are currently seeking a passionate Software Engineer interested at building data-driven capabilities that drive transformation as a member of Thomson Reuters Labs in Zug. In this role, you will have significant and direct impact on our company in helping to create new information products which customers will use. We experiment, build and deliver. We work with big data sets to discover what new products, services, or analysis we can create for our customers.

At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world's largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare have all web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Duolingo AI Research is one of Duolingo's fastest-growing teams. We use real-world data to develop new hypotheses about language and learning, test them empirically, and ship products based on our research. Duolingo has revolutionized language learning for more than 300 million people around the world, and we're looking for out-of-the-box thinkers who bring creative, interdisciplinary ideas on how to deliver a high-quality education to anyone, anywhere, through AI.

Apple has a tremendous amount of data, and we have just scratched the surface in pattern detection, anomaly detection, predictive modeling, and optimization.There are many exciting problems to be discovered and solved and many business owners eager to leverage data mining. We encourage our scientists to stay abreast of data science research by attending conferences and working with academic faculty and students. We support a collaborative work environment, but we also allow solution autonomy on projects. Responsibilities: – Conceive and design end to end data science solutions to support Apple's business units and initiatives to support product quality – Work with business owners to map business requirements into technical solutions.

We are looking for engineers with a passion for using machine learning to create intelligent applications. In this highly accomplished, deeply technical and close-knit team of data scientists and machine learning engineers, you will create tools that are used by millions of people. You will design and implement new machine learning algorithms and techniques and collaborate with the most innovative product development teams in the world. Our team builds the platform that enables teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences. We are looking for new energetic members to join our ML Platform team.

You will be responsible for designing, building, and scaling algorithms and systems for processing and analyzing very large streams of data in real time. The pipeline includes Go, Kafka, ClickHouse, and Lua, which stores and analyzes in excess of 10 million events per second (and growing fast!). You are expected to write high-quality data processing code in Go, Python, Lua or other high-performance languages; building and administering alerting and monitoring our production systems; implementing mathematical, machine learning, and statistical models that are capable of detecting patterns on large data sets at very high speeds; analyzing large-scale data sets for business insights; building data access and controls APIs for internal and external customers.

Amazon's Intelligent Cloud Control Group in Berlin is looking for a Machine Learning Engineer to develop large-scale machine learning implementations that will revolutionize the way Amazon manages its cloud computing infrastructure. With an ever-growing number of fleets, developers, customers, products, marketplaces, sellers, and businesses the Amazon service graph is one of the largest and most complex tech ecosystems in the world. We are building an Intelligent Cloud Control system that enables Amazon businesses (Retail, Amazon Video, Kindle, and more) to accelerate innovation in the cloud. As a Machine Learning Engineer in the Intelligent Cloud Control team, you'll collaborate with scientists to develop and evaluate machine learning models using large datasets such as orders, website traffic, monitoring telemetry, and logs from every host at Amazon. You will own scaling-up successful prototypes and implementing a reliable automated production workflow for the model.

We are building the best place for reading and writing on the internet--a place where today's smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are looking for a Senior Data Engineer that will design, build, ship and maintain our business critical Data Platform. In this role you will lead development of both transactional and data warehouse designs mentoring our team of cross functional engineers and Data Scientists. You'll also design, implement and tune tables, queries, stored procedures, and indexes. At Medium, we are proud of our product, our team, and our culture.

At Toyota Research Institute (TRI), we're working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We're dedicated to building a world of "mobility for all" where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies.

At Toyota Research Institute (TRI), we're working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We're dedicated to building a world of "mobility for all" where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies.