OPT Generative Engine Optimization Jobs
Generative Engine Optimization is an emerging discipline sitting at the intersection of SEO, AI, and content strategy. Most GEO roles require a background in marketing, computer science, or communications. OPT students get 12 months of work authorization, extendable to 36 months with an approved STEM extension for qualifying degrees.
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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
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. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on 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.
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.
As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science, MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
We are seeking a highly motivated and skilled AI/ML Engineer to contribute to cutting-edge research and development within our team. This role offers a unique opportunity to work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. A strong theoretical foundation and hands-on coding experience are essential.
- Design, develop, and implement AI/ML models and algorithms to solve complex problems.
- Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.
- Train, evaluate, and tune various machine learning models.
- Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Document code, experiments, and results clearly and concisely.
- Collaborate effectively with other engineers within the team.
- Ability to work within an agile development model working closely with a product manager and other engineers.
Minimum Requirements:
- Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
- 3+ years of experience of analytical methods and their proper application
- 3+ years of experience using AI/ML, data science software (e.g., Python-based tools)
- MUST HAVE experience using Gen AI technologies.
- Experience using Cloud Platforms and AI Platforms.
Preferred Requirements:
- Working knowledge of GCP.
- Expertise in open-source data science technologies such as Python, R, Spark, SQL.
- Conceptual understanding of data pipelines and MLOps.
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 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
- 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 range of salary grades 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.
Visa sponsorship is available for this position.
Domestic relocation is 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.
We are an Equal Opportunity Employer. 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.
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.
LI-Hybrid
LI-PW1
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
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. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on 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.
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.
As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science, MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
We are seeking a highly motivated and skilled AI/ML Engineer to contribute to cutting-edge research and development within our team. This role offers a unique opportunity to work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. A strong theoretical foundation and hands-on coding experience are essential.
- Design, develop, and implement AI/ML models and algorithms to solve complex problems.
- Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.
- Train, evaluate, and tune various machine learning models.
- Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Document code, experiments, and results clearly and concisely.
- Collaborate effectively with other engineers within the team.
- Ability to work within an agile development model working closely with a product manager and other engineers.
Minimum Requirements:
- Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
- 3+ years of experience of analytical methods and their proper application
- 3+ years of experience using AI/ML, data science software (e.g., Python-based tools)
- MUST HAVE experience using Gen AI technologies.
- Experience using Cloud Platforms and AI Platforms.
Preferred Requirements:
- Working knowledge of GCP.
- Expertise in open-source data science technologies such as Python, R, Spark, SQL.
- Conceptual understanding of data pipelines and MLOps.
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 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
- 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 range of salary grades 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.
Visa sponsorship is available for this position.
Domestic relocation is 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.
We are an Equal Opportunity Employer. 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.
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.
LI-Hybrid
LI-PW1
See all 57+ OPT Generative Engine Optimization Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Generative Engine Optimization Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship in Generative Engine Optimization
Target AI-forward marketing teams
GEO is newest at companies investing heavily in AI-driven content. Prioritize roles at organizations with dedicated AI or search teams, where your OPT status is less of a friction point than at traditional marketing agencies unfamiliar with the authorization process.
Lead with measurable AI content results
Sponsoring employers want proof of impact. Quantify your GEO work with metrics like answer engine visibility rates, citation frequency in AI-generated responses, or organic traffic lift from structured content changes you directly implemented or tested.
Check if your degree qualifies for STEM OPT
Computer science, data science, and information systems degrees often qualify for the 24-month STEM extension. Confirming your eligibility before interviewing gives you a concrete answer when employers ask how long you can work without H-1B visa sponsorship.
Apply before your OPT start date
GEO hiring cycles move quickly. Submit applications at least two to three months before your OPT authorization begins so you can start on day one without gaps, and so employers aren't waiting on paperwork before your first week.
Frame GEO as a scarce, high-demand skill
Most hiring managers haven't heard of Generative Engine Optimization yet. Frame it as emerging expertise in AI search visibility, answer engine ranking, and large language model content strategy. Scarcity of skilled candidates works in your favor during negotiations.
Clarify your authorization timeline upfront
Be transparent about your OPT end date and STEM extension eligibility in early conversations. Employers who understand the timeline can plan around it. Ambiguity about work authorization is the most common reason GEO candidates lose offers late in the process.
Generative Engine Optimization OPT: Frequently Asked Questions
Can I work in a Generative Engine Optimization role on OPT?
Yes, as long as the role is directly related to your field of study. GEO positions typically qualify under degrees in marketing, communications, computer science, or information systems. Your DSO will confirm whether the specific job description meets the requirement for a practical training authorization tied to your program.
Do Generative Engine Optimization jobs qualify for the STEM OPT extension?
They can, depending on your degree. If your underlying F-1 program is in a STEM-designated field like computer science or data science, your GEO job may qualify for the 24-month extension, giving you up to 36 months of total OPT. The job must be directly related to that STEM degree, and your employer must participate in E-Verify.
How do I find Generative Engine Optimization jobs that sponsor OPT students?
Migrate Mate filters job listings by OPT sponsorship, so you're not wasting time applying to roles where visa authorization is a dealbreaker. GEO is a niche enough discipline that not every employer understands OPT work authorization, making it worth using a platform that already screens for sponsorship-friendly companies.
What happens to my OPT status if my Generative Engine Optimization job ends?
You have a 60-day grace period after your employment ends during which you remain in valid F-1 status but cannot work. You can use that window to find a new GEO role or transition to a different visa status. Accruing more than 90 days of unemployment during your OPT period will terminate your authorization, so timing matters.
Do GEO employers typically understand how OPT work authorization works?
Not always. GEO is concentrated in startups and AI-focused teams that often hire internationally, but smaller companies may have limited experience with F-1 OPT paperwork. Come prepared with a one-page summary of your authorization timeline, STEM extension eligibility, and what the employer needs to provide, specifically a signed training plan for STEM OPT. It removes the uncertainty that causes hesitation.