Machine Learning Engineer Job Opportunity in Cupertino, CA (Hybrid)

Company: NetPolarity, Inc. (Saicon Consultants, Inc.)

Job Title: Machine Learning Engineer

Duration: 6 Months

Location: Cupertino, CA (Hybrid)

**Note:** Looking for candidates on W2 only

Job Responsibilities

• Develop data pipelines from simulation results to machine learning datasets.
• Deploy ML models into production environments ensuring seamless integration with the 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 on progress and challenges.

Education Requirements

• Bachelor’s degree in Computer Science, Data Science, Mechanical Engineering, or a related field.
• Master’s degree or higher is 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 specific ML applications 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).

Join our dynamic team and contribute to cutting-edge machine learning projects. We look forward to receiving your application!