Senior Software Engineer

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

In this position... 

GDI&A is looking for a Software Engineer focused on building and driving the strategy forward for our internal AI/ML platform. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with business partners, product managers and designers, and will release early and often. The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (Ford’s AI/ML platform similar to Uber’s Michelangelo, Facebook’s FBLearner, etc) on GCP journey or other ML Engineering / MLOps / Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization.

What you'll do..

• Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology.



• Work with other Software and ML Engineers to tackle challenging AI problems.



• Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery.



• Leverage latest ML and GCP technologies.



• Work with Architects to make technical decision on tools, integration, and other issues.



• Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform



• Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues.



• Grow technical capabilities / expertise and provide guidance to other software engineers on the team.

You'll have...

• Bachelor’s degree in Computer Science or a related field of study



• 4+ years of experience in Python and Machine Learning Technologies.



• 2+ years of experience in Generative AI - LLM. Development experience with building RAG and Multi Agent Applications.



• 3+ years of work experience as a software engineer with exceptional software engineering knowledge.



• Experience working with Google Cloud Platform or other cloud experience. CICD tools (Tekton / Cloud Build / Airflow etc.) experience.

Even better, you may have...

• Bachelor’s degree in Computer Science, Computer Engineering or a related field of study



• Experience working with Google Cloud platform.



• Experience with Python and have used Machine Learning algorithms (pytorch, NLP etc).



• Experience using orchestration tools like Airflow and have knowledge of Infrastructure as code (Terraform).



• Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts, Kubernetes (k8).



• Experience with Generative AI – LLM and building frontend with React / Chainlit / Streamlit.



• Experience in supporting continuous improvement by investigating development alternatives.



• Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.



• Experience in creating an API service with Fast API / Flask.



• Experience applying Agile practices to solution delivery.



• Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.



• Open to learning new technology.



• Strong communication and presentation skills, ability to share/teach others, work collaboratively with others.



• Good understanding of cloud design considerations and limitations and impact of pricing.

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.

For more information on salary and benefits, click here:

This position is a range of salary grades 6-8 .

Visa sponsorship 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.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Hybrid #LI-PS2