DIA Maching Lrng Eng

ResponsibilitiesAnalyze 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 trendsApply AI and Machine Learning technology to solve complex, real"‘world problemsAnalyze and visualize diverse sources of data, interpret results in a business context and report results clearly and conciselyFulfill problem formulation and ML technique consulting requests in a timely mannerCommunicate and present analytical models to business customers and executive managementWork collaboratively with different business partners and be able to present results in a clear and concise mannerQualificationsBachelor's degree in computer science, mathematics, statistics, operations research, or related fieldExperience with the complete software lifecycle1+ years of experience with delivering and maintaining production software productsStrong technical writing and oral communication skillsExpertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOpsExperience in productionizing generative AI to solve critical business problemsDoctorate 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 Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data"‘science experienceOR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data"‘science experienceExperience with cloud"‘based deployments and best practicesDemonstrated 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, including development and deployment of LLM"‘driven AI agents capable of autonomous task execution and tool integration)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)BenefitsImmediate medical, dental, and prescription drug coverageFlexible family care, parental leave, new parent ramp"‘up programs, subsidized back"‘up child care and moreVehicle discount program for employees and family members, and management leasesTuition assistanceEstablished and active employee resource groupsPaid time off for individual and team community serviceA generous schedule of paid holidays, including the week between Christmas and New Year's DayPaid time off and the option to purchase additional vacation timeBenefit Summary (InformationThis role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.Visa Sponsorship IS provided for this specific roleRelocation assistance is NOT provided for this specific roleCandidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #J-18808-Ljbffr

Created: 2026-04-29