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FEA Machine Learning Engineer
Cupertino, CA, US
Information Technology
Bachelors Degree
Full Time, Temporary
Experienced (Non-Manager)
On-site
Computer Hardware
First Shift (Day)
Cupertino, CA, US
Experienced (Non-Manager)
Full Time, Temporary
Computer Hardware
On-site
Information Technology
Bachelors Degree
First Shift (Day)
Job details
FEA Engineer / Software Engineer / Machine Learning Engineer, Cupertino, CA (Hybrid)
Kelly Services is seeking an FEA Engineer / Software Engineer / Machine Learning Engineer for one of our top clients.
Type: Contract W2
Duration: 6 Months
Pay Rate: $negotiable /hr. (W2)
Interview Process: Virtual or Onsite
Job Summary:
We are seeking a skilled engineer to support product design and FEA development. The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training ML models, and a proven record of deploying models in relevant applications such as computer vision. The role will involve FEA data processing, organizing datasets, managing the lifecycle of ML models, documenting details, and communicating with cross-functional teams.
Job Responsibility:
- Develop data pipelines from simulation results to ML datasets
- Deploy ML models into production environment ensuring seamless integration with existing codebase.
- Experiment with new algorithms and tools to enhance model performance.
- Create detailed documentation of data processing, model architecture, and training/test results.
- Provide regular updates and reports.
Education:
- Bachelor’s degree in Computer Science, Data Science, Mechanical Engineering, or a related field.
- Master’s degree or higher are preferred. A Ph.D. is a strong plus.
Required Skills:
- Proficiency in Python
- Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow.
- Knowledge of FEA, including element technologies and material models.
- Solid understanding of deep learning architectures such as CNN, RNN, and transformers.
- Hands-on experience with large-scale data processing and analysis.
Preferred Skills:
- Experience in a specific ML application such as computer vision.
- Experience with FEA software (e.g., Abaqus) and scripting.
- Experience with cloud platforms (e.g., AWS, Google Cloud) for training and deployment.
- Familiarity with code collaboration and version control systems (e.g., Git).
Apply Today!
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Looking to put your tech expertise to work on today’s most intriguing, innovative, and high-visibility projects? By partnering with Kelly Technology, you’ll gain direct connections to top companies around the globe. Our team creates expert talent solutions to solve the world’s most critical challenges. In a world where change is the only constant, our extensive network of industry relationships and IT market expertise help you take your skills exactly where you want to go. We’re here to help you gain experience, make an impact, and grow your tech career.About Kelly
Work changes everything. And at Kelly, we’re obsessed with where it can take you. To us, it’s about more than simply accepting your next job opportunity. It’s the fuel that powers every next step of your life. It’s the ripple effect that changes and improves everything for your family, your community, and the world. Which is why, here at Kelly, we are dedicated to providing you with limitless opportunities to enrich your life—just ask the 300,000 people we employ each year.Kelly Services is proud to be an Equal Employment Opportunity and Affirmative Action employer. We welcome, value, and embrace diversity at all levels and are committed to building a team that is inclusive of a variety of backgrounds, communities, perspectives, and abilities. At Kelly, we believe that the more inclusive we are, the better services we can provide. Requests for accommodation related to our application process can be directed to Kelly’s Human Resource Knowledge Center. Kelly complies with the requirements of California’s state and local Fair Chance laws. A conviction does not automatically bar individuals from employment. Kelly participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.