Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Engineer / Applied Scientist, Prediction & Planning”. A match may be a passing mention rather than the job itself. Titles only.
41 roles · page 1 of 2
…They will work closely with Economists, Data/Applied Scientists, Software Engineers and Product Managers to integrate economic insights into policy and systems production. About…
…Amazon Music - Search Science team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning…
…management, engineering program management, or leading complex cross-functional engineering initiatives - Experience partnering with algorithm development, machine learning, data science, or software engineering teams…
…with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Partner with…
…applying ML to solve complex problems for large-scale applications experience - 5+ years of hands-on work in big data, machine learning and predictive…
…and Machine Learning (ML) frameworks to enhance client onboarding processes and improve user experience. Collaborate with data scientists to develop and deploy predictive models…
…as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the…
…engineering, artificial intelligence and machine learning domains. 3+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or…
…Key job responsibilities - Design, develop, and deploy machine learning models for IT operations forecasting, including incident volume prediction, capacity planning, and workforce demand modeling…
…machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency. Key job responsibilities As an RFE Data Scientist, you…
…models learn, generalize, and improve in production is where you come in. JP OPS STAR Foundation is the applied science and engineering team that…
…and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL. Experience with machine learning or optimization techniques…
…They collaborate with diverse roles including Front End Engineers, Software Development Engineers, Machine Learning Scientists and Product Managers to deliver a common goal. As…
…planning systems that allocate capacity to meet patient demand. You will work at the intersection of software engineering, operations research, and machine learning. This…
…analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. AWS Support's Capacity Planning team…
…intersection of robotics, machine learning, and large-scale data processing. You will work closely with scientists, program facilators, and partner engineering teams to translate…
…scientists, interns, engineers in the use of ML techniques. - Publishing innovation in research forums. - 6+ years of building machine learning models for business application…
As a Senior Applied Scientist specializing in lead scoring and deep learning modeling, you will tackle complex challenges in machine learning and deep learning…
…downtime and maintain operational continuity - Collaborate with folks from our machine learning, software engineering and scientific groups to solve questions ranging from technology onboarding…
…for machine learning workflows, including feature stores, model training pipelines, and real-time inference capabilities - Partner with applied scientists and ML engineers to build…
…Applied data science and machine-learning R&D on power-systems, grid, or industrial-asset data. Creative generation of synthetic data to augment unusual…
…modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks) - Experience in any of the following areas of applied economics (multiple…
…Machine Learning. We're a dynamic team seeking engineers who are enthusiastic about influencing the future of Apple Intelligence. As a Software Engineer in…
…under tight timelines Advanced degree in Applied Econometrics, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Previous experience working…
…You will technically lead a team of applied scientists to harness state-of-the-art technologies in machine learning, natural language processing, LLM training…