Qualcomm · 1 day ago
Sr. AI Model Training Engineer
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$129K/yr - $194K/yr
2+ years expQualcomm Technologies, Inc. is seeking a skilled and motivated AI Model Training Engineer to join their team. The role involves designing, training, fine-tuning, and optimizing machine learning models for various applications, collaborating closely with data scientists and engineers to ensure robust and scalable model performance.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
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
Qualification
Required
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
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
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
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