# Machine Learning Engineer

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $74,300-$144,900
**Category**: Engineering
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73932?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/machine-learning-engineer-c0f2d602-047/

## Description

At Ford, you can build more than vehicles. Come build what matters.

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams.

Join our Global Data Insight & Analytics team and use your data expertise and analytical skills to drive evidence-based, timely decision making. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

As a Machine Learning Engineer, you will:

- 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:**

- Master's Degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 1+ year Data Science experience

- OR Bachelor's Degree in Computer Science, Mathematics, Statistics, Operations Research, or related field AND 2+ years' Data Science experience

- 1+ years' experience with delivering and maintaining production software products

- 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)

**Benefits:**

- Immediate medical, dental, vision, and prescription drug coverage

- Paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more

- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments 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

- Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year's Day

**Salary:** $74,300-$144,900

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## Skills

### Required
- Python
- Machine Learning
- AI
- Natural Language Processing
- Computer Vision
- Generative AI
- Physics-informed neural networks

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73932?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)