Senior AI Training Engineer - Scalable ML & LLMs

Qualcomm; Santa Clara (CA); On-site; USD 129,300 - 193,900; Full time

Benefits offered by this job

Comprehensive healthcare

Retirement plans

Annual discretionary bonus program

RSU grants

Job summary

Qualcomm is seeking an AI Model Training Engineer to design and optimize machine learning models. You will collaborate with data scientists and engineers to ensure models meet performance and ethical standards.

The ideal candidate should have a strong background in programming, machine learning frameworks like PyTorch, and best practices in training models. A degree in a relevant field and a minimum of 2 years of experience are required. This role offers competitive benefits and a base salary range of $129,300 – $193,900.

Qualifications

• 2+ years of work experience with programming languages such as C, C++, Java, Python.
• Experience with training machine learning models.
• Understanding of training best practices and ethical AI practices.

Responsibilities

• Design, train, fine-tune, and optimize machine learning models.
• Collaborate with data engineering teams to ensure high-quality datasets.
• Monitor training processes and address overfitting or underfitting.

Skills

Machine learning

Deep learning

Python

C/C++

Data science

MLOps

Education

Bachelor's degree in Engineering, Computer Science, or related field

Master's degree in Engineering, Computer Science, or related field

PhD in Engineering, Computer Science, or related field

Tools

PyTorch

Hugging Face Transformers

NumPy

scikit-learn

Job description

Qualcomm is seeking an AI Model Training Engineer to design and optimize machine learning models. You will collaborate with data scientists and engineers to ensure models meet performance and ethical standards.

The ideal candidate should have a strong background in programming, machine learning frameworks like PyTorch, and best practices in training models. A degree in a relevant field and a minimum of 2 years of experience are required. This role offers competitive benefits and a base salary range of $129,300 – $193,900.