AI/ML Engineer

Overview

At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation - grounded in purpose, driven by progress. Make your move.

Job Type: Full time

Work Type: Hybrid

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs both on-prem and cloud native. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

As an AI/ML Engineer, you will join the Product Team, collaborating closely with Product Managers, Product Designers, Data Scientists and fellow engineers to deliver impactful analytic solutions. In this role, you will take ownership of the full technical lifecycle, handling both the end-to-end development and the ongoing support and maintenance of these solutions.

You'll work across the full-stack technologies to enable the highest priority work to be delivered. Within this highly collaborative environment, you will:

Provide thought leadership across the greater Ford community

Define, design, develop, and deploy applications/services

Perform design review, code review and mentor junior team members

Create proof-of-concepts to test business ideas with working software

Use Agile principles and software craftmanship practices to sustainably and efficiently engineer software

Collaborate with product managers, product designers, product owners, data scientists, and other software engineers to define product direction

Integrate with other Ford systems and business processes to create new digital experiences

Partner with software engineers and data scientists from other teams to build solutions with proven value

5+ years' experience in Software Engineering.

Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.

1+ year experience with developing for and deploying to cloud platforms (e.g. GCP, PCF, Azure)

Implement and optimize cloud services and tools (e.g. Terraform, BigQuery, GCP)

Build and maintain the foundational systems that power scalable, reliable, high-performance environments while also developing the intelligence layer that transforms data into actionable insights through machine learning. Develop internal frameworks, APIs, and developer tools using:

Core Software Engineering:

Languages & Methodologies: Java, Python, SQL (or similar major programming languages), and Test-Driven Development (TDD).

Application Development: REST-style microservices (Spring Boot, Cloud Run) and JavaScript-based UI frameworks (Angular, React, or Vue).

Cloud & Infrastructure:

GCP Architecture: Google Cloud Platform services including Cloud Run, Google Cloud Storage (GCS), Kubernetes Engine (GKE), Cloud SQL, Cloud IAM, and BigQuery.

Infrastructure & Operations: Infrastructure as Code (IaC), Terraform.

DevOps, Reliability & Security:

CI/CD & Containers: Jenkins, Tekton, GitHub Actions, Git/GitHub, Docker, Podman, Cloud Build and Deploy, and Artifact Registry.

Monitoring: Splunk, Dynatrace, Grafana, Apigee, and Cloud Logging.

DevSecOps: SonarQube, Fossa, Cycode, and Checkmarx.

Data Engineering & Machine Learning (MLOps):

Data Processing & Databases: Big Data, PySpark, MS SQL Server, PostgreSQL, and MySQL.

ML Training: Google Vertex AI (Studio, Training, Model Registry), XGBoost, and CatBoost.

Pipelines & Workflows: Oozie workflows, Apache Airflow, and Astronomer.

Production Integration: Vertex AI Endpoints, Batch Inference, and Astronomer.

Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care 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

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.

This position is a salary grade 7-8 and ranges from $99,600-$192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

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.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

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