Sr. AI Engineer

## Company: Qualcomm Technologies, Inc. ## Job Area: Engineering Group, Engineering Group > Software Engineering 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. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 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). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered...