Machine Learning Engineer - Ford Performance
Machine Learning Engineer - Ford Performance
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
This role is embedded with Ford Performance Fords motorsport division for the first two years. Successful candidates will be expected to develop AI and Machine Learning-driven solutions for Ford Performance and its motorsport partners. They will leverage diverse sources of data such as time-series images audio and video to develop predictive models and deploy them in prototype applications for downstream consumption. Frequent travel will be required.
Responsibilities
- 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 and report results clearly and concisely.
- Fulfill problem formulation and ML approaches.
Qualifications
- Bachelors or Masters degree in Computer Science Statistics Applied mathematics or other engineering discipline.
- 1-2 years experience in feature engineering model development hyper parameter tuning and model evaluation.
- 1-2 years experience with Python Pandas/Numpy/ScikitLearn Pytorch Tensorflow Huggingface
- Core concepts of modern NLP or Computer Vision modeling techniques
- Familiarity with best practices in deep learning
- Familiarity with Google Cloud Platform
- Familiarity with API and application development and tools such as FastAPI or Dash.
- Strong technical writing and oral skills
Preferred Qualifications:
- Ph.D. degree in a STEM field
- Git and best practices in GitHub
- Test and Behavior Driven Development
- OS: Linux shell scripts and Docker containers
- Experience with Google Cloud Platform
- Exposure to best practices in CI/CD
You may not check every box or your experience may look a little different from what weve 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 builderor 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 Years Day
Paid time off and the option to purchase additional vacation time.
For more information on salary and benefits click here: in MI in CA This position is a range of salary grades 5-8
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-.
Employment Type
Full-Time
