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Junior Machine Learning Scientist

jobright.com, Palo Alto, California, United States, 94306

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Ford Motor Company is committed to shaping the future of mobility through intelligent data application. The Machine Learning Scientist will play a key role in leveraging AI and ML to innovate in various domains, including autonomous vehicles and customer interaction, while contributing to evidence-based decision-making. Responsibilities: Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.) Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends Apply AI and Machine Learning technology to solve complex, real-world problems Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely Fulfill problem formulation and ML technique consulting requests in a timely manner Communicate and present analytical models to business customers and executive management Work collaboratively with different business partners and be able to present results in a clear and concise manner Qualifications: Required: Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science OR bachelors degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience Experience with cloud-based deployments and best practices Demonstrated contributions and expertise in one or more of the following AI domains: Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale), Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction), Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain), Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling) Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.) Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends Apply AI and Machine Learning technology to solve complex, real-world problems Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely Fulfill problem formulation and ML technique consulting requests in a timely manner Communicate and present analytical models to business customers and executive management Work collaboratively with different business partners and be able to present results in a clear and concise manner Company: We don't just make history -- we make the future. Founded in 1903, the company is headquartered in Dearborn, Michigan, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level

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