DIA Maching Lrng Eng
Ford Motor Company, Nashville, TN, United States
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
Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field
Experience with the complete software lifecycle
1+ years of experience with delivering and maintaining production software products
Strong technical writing and oral communication skills
Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
Experience in productionizing generative AI to solve critical business problems
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 Master’s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data‑science experience
OR bachelor’s 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, 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)
Benefits
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp‑up programs, subsidized back‑up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time
Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf)
Additional Information
This 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 role
Relocation assistance is NOT provided for this specific role
Candidates 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
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
Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field
Experience with the complete software lifecycle
1+ years of experience with delivering and maintaining production software products
Strong technical writing and oral communication skills
Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
Experience in productionizing generative AI to solve critical business problems
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 Master’s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data‑science experience
OR bachelor’s 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, 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)
Benefits
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp‑up programs, subsidized back‑up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time
Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf)
Additional Information
This 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 role
Relocation assistance is NOT provided for this specific role
Candidates 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