Nuvia
General Summary:
We are looking for a skilled and motivated AI Model Training Engineer to join our team. In this role, you will be responsible for designing, training, fine-tuning, and optimizing machine learning models for a range of applications. You’ll work closely with data scientists, researchers, and infrastructure engineers to develop robust, scalable models that meet performance, efficiency, and ethical standards.
Key Responsibilities
· Build and train machine learning and deep learning models using structured and unstructured datasets.
· Fine-tune pre-trained models (e.g., object detection, classification, LLMs, vision transformers) for specific downstream tasks.
· Design training pipelines with reproducibility, efficiency, and scalability in mind.
· Conduct hyperparameter optimization, model evaluation, and performance tuning.
· Collaborate with data engineering teams to ensure high-quality, well-labeled, and balanced datasets.
· Monitor training processes, identify failure modes, and address overfitting, underfitting, or bias.
· Keep up to date with the latest research and integrate state-of-the-art techniques into training workflows.
· Document models, training strategies, and experiments for internal knowledge sharing and compliance.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.Preferred Qualifications:
· Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
· Solid experience training machine learning models with frameworks like PyTorch, onnxruntime or Hugging Face Transformers.
· Proficient in Python and familiar with ML libraries such as PyTorch, scikit-learn, and NumPy.
· Understanding of training best practices, including dataset management, batching, checkpointing, and loss functions.
· Experience with GPU/TPU-based training environments and distributed training frameworks (e.g., PyTorch, onnxruntime).
· Experience training large-scale models (e.g., LLMs, multimodal models) or using cloud-based ML platforms.
· Knowledge of MLOps practices including CI/CD, containerization, and model versioning.
· Background in performance profiling and memory optimization for training workflows.
· Exposure to ethical AI practices, including fairness, explainability, and model auditing.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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Pay range and Other Compensation & Benefits:
$129,300.00 - $193,900.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.