Manager, Applied Science Machine Learning
2 settimane fa
Job summary Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world
If so, The company has the most exciting, and never-before-seen, challenges at this scale including those in sustainability, e.g. how to reach net zero carbon by 2040. The company\'s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience ? from checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within The company Transportation Services, and impact the future of the The company delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others. We are looking for a Manager, Applied Science Machine Learning with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and|or anomaly detection. At The company, we strive to continue being the most customer-centric company on earth. To stay thereand continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything, and deliver in the most efficient and greenest way possible, this is your chance to make history. Basic qualifications PhD in Computer Science, AI, Mathematics, or Statistics with specialization in ML alternatively, MSc. and 5 years in a ML scientist role. Deep knowledge of fundamentals, and the state-of-the art, in relevant areas of ML. 2 years managing a team of applied or data scientists Strong coding skills in Python. Strong verbal and written communication skills. Preferred qualification 3 years of experience, and strong expertise, in any of:
Probabilistic Machine Learning, time series forecasting, anomaly detection. Experience with cloud computing services such as AWS. Experience with programming languages such as Java, Scala, and|or others. Experience working effectively with research science, data engineering, and software engineering teams. Proven track record of innovation in creating novel algorithms and applying the state-of the-art. Strong publication|scientific track record. The company is an equal opportunities employer. We believe passionately that employing a diverse Confidenziale is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for The company. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
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Lazio, Italia Nlp People A tempo pienoOmninext is an ecosystem of highly specialized interconnected companies that enables public and private enterprises to digitize products, services and processes through strategic consulting and cutting-edge digital solutions. We are a group of professionals, technology experts, software developers, designers and entrepreneurs and operate in different markets...
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Lazio, Italia Nlp People A tempo pienoOmninext is an ecosystem of highly specialized interconnected companies that enables public and private enterprises to digitize products, services and processes through strategic consulting and cutting-edge digital solutions. We are a group of professionals, technology experts, software developers, designers and entrepreneurs and operate in different markets...
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