Machine Learning Scientist
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Qualcomm is hiring Machine Learning Scientists for its AI Research team in Vietnam. The role involves conducting cutting-edge research in generative AI, LLMs, and multi-modal models, with a focus on efficient on-device intelligence. Responsibilities include leading research initiatives, mentoring junior staff, and publishing in top-tier conferences.
Responsibilities
- Conduct original research in efficient generative AI: LLMs and multi-modal foundation models, reasoning with LLMs, reinforcement learning, RAG, Agentic AI.
- Provide technical leadership in research and applied projects.
- Guide research directions to best support company objectives.
- Mentor AI Residents, junior researchers and engineers.
- Foster collaboration, growth and excellence in a dynamic R&D environment.
- Lead efforts in transitioning research into production-ready solutions.
- Contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
- Publish in top-tier conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ACL, EMNLP, etc).
Requirements
- MSc or PhD in Computer Science, Electrical Engineering, or a closely related field.
- Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ACL, EMNLP, etc.).
- Deep expertise in generative AI, large language models (LLMs), multi-modal language-vision models, LLM reasoning, and diffusion models.
- Familiar with model optimization techniques such as quantization and distillation.
- Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.
Desired Qualifications
- 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience with a Bachelor's degree.
- 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience with a Master's degree.
- PhD in Computer Science, Engineering, Information Systems, or related field.
Benefits
- Be part of a globally recognized AI research organization.
- Work on impactful projects with real-world deployment.
- Collaborate with top researchers across Qualcomm’s global network.
- Thrive in an inclusive, innovation-driven environment.
- Enjoy competitive compensation and career development opportunities.
#AI#Machine Learning#Generative AI#LLM#Research