Software Engineer

Dearborn, MI, United States

Ford Motor Company

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At Ford Motor Company, we believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

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 role, you will be part of a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing innovative generative AI applications and systems that can be deployed across various domains within Ford. Your work will enable smarter decision-making, enhance customer experiences, and optimize operations.

What you'll do...
 

  • Work closely with the Tech Anchor, Product Manager, and Product Owner to deliver MLOps platforms and Gen AI solutions in GCP using Python and other tools for data scientists and business units across the company.
  • Collaborate with software and ML engineers/Data Scientists to solve challenging AIOps and Gen AI problems.
  • Maintain and manage the current CI/CD ecosystem and tools.
  • Find ways to automate and continuously improve current CI/CD and release processes.
  • Examine and inspect codes/scripts and resolve issues.
  • Help to innovate and standardize machine learning development practices.
  • Experiment, innovate, and share knowledge with the team.
  • Lead by example in the use of Paired Programming for cross-training, problem-solving, and speed to delivery.
  • Leverage the latest ML / Gen AI / GCP / Kubernetes technologies.

You'll have...
 

Basic Qualifications

  • A Bachelor’s degree in Computer Science / Computer Engineering or a similar technical discipline.
  • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
  • 2+ years of experience with Cloud Engineering / Services.
  • Experience with ML workflow orchestration tools such as Airflow or Kubeflow.
  • Advanced working knowledge of object-oriented/object-functional programming languages like Python or C/C++.
  • Experience or understanding in MLOps and Gen AI.
  • Experience in DevOps tools like Jenkins or Tekton.
  • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery, etc..
  • Experience in container management solutions like Kubernetes or Docker.
  • Experience in a scripting language such as Bash or PowerShell.
  • Experience with Infrastructure as Code, such as Terraform.

Even better, you may have...
 

Desired Skills

  • A Master's degree focused in Computer Science, Machine Learning, or a related field.
  • Experience working with Google Cloud Platform (GCP) – specifically Google Kubernetes Engine, Terraform, and infrastructure.
  • Experience in programming concepts such as Paired Programming and Test-Driven Development.
  • Knowledge of coding and software craftsmanship practices.
  • Must be a quick learner and open to learning new technology.
  • Experience applying agile practices to solution delivery.
  • Must be team-oriented and possess excellent oral and written communication skills.
  • Must be a self-starter who can understand existing bottlenecks and devise innovative solutions.

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.

 

For more information on salary and benefits, click here: https://fordcareers.co/GSRSP2
This position is a range of salary grades 7-8.      


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.

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-MD2

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile AIOps Airflow BigQuery CI/CD Computer Science CX DevOps Docker Engineering GCP Generative AI Google Cloud Jenkins Kubeflow Kubernetes Machine Learning MLOps Python TDD Terraform Vertex AI

Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave

Region: North America
Country: United States

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