Overview
Are you passionate about large scale machine learning? Are you interested in large language models? We are looking for a Principal Researcher who is a team contributor and will work on developing cutting-edge solutions for Artificial General Intelligence.
We are seeking researchers in artificial general intelligence (AGI) with a focus in natural language processing at the senior and principal levels to join our Lab in Seattle or San Francisco Bay area. We are looking for recognized experts and thought leaders in generative AI, large language models, reinforcement learning, multimodal reasoning and generation, and efficient deep learning. The ideal candidates are those who are self-motivated and passionate about advancing the state of the art of AGI by developing novel model architectures and algorithms and solving real-world problems.
Responsibilities:
- Identify undefined problems in existing technology and develop theoretically sound novel models and algorithms to address them.
- Design experiments, write reusable code, run evaluations, and analyze results.
- Collaborate with other researchers and engineers across functional groups to push forward the state-of-the art of AGI.
- Prioritize research that can be applied to Tencent’s products. Deploy promising ideas quickly and broadly.
- Author research papers to share and generate the impact of research results across organizations and in the research community.
- Share research trends and best practices in the community by reviewing academic papers, serving on program committees and grant panels, speaking at Tencent events or research conferences, or organizing research conferences and visioning activities.
Required Qualifications
- Has master degree or above in AI, computer science, electrical engineering, math, physics, or related technical fields.
- Proven record of influential publications in top AI conferences and journals.
- Experience collaborating within a team to solve analytical problems and conduct original research in one of the following areas: generative AI, large language models, reinforcement learning, multimodal reasoning and generation, self-improving, and coding LLM.
- Hands-on experience with deep learning frameworks such as PyTorch and Tensorflow.
- Experience writing efficient and reusable code and executing complex experiments involving large AI models and high-volume, high-dimensional data from varying sources.
- Strong communication skills for articulating research ideas, results, and the impact of innovations both within the organization and in the broader research community.
Qualifications (preferred)
- Experience in multiple of following areas: large language model, reinforcement learning, multimodal reasoning and generation, coding.
- Strong abstraction ability and mathematical skills.
- Experience working with large-scale datasets and developing big models that scale across multiple GPUs or cloud-based systems.
- Experience in multi-modal foundation models.
- Experience in model optimization for deployment in production environments.
The typical base pay range for Applied Sciences across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and Seattle Washington, and the base pay range for this role in those locations is USD $180,400 – $294,000 per year.
If you are interested with this position, please send your CV to pocketai@smartpocketai.com
Updated on Oct/01/2024