Job Opportunity
We are seeking a highly skilled and innovative Research Engineer to join our team. The ideal candidate will have expertise in multimodal large language models (m-LLMs), text-to-speech (TTS) technologies, and agentic workflows.
This position offers a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities and enhance interactive systems. Ideal candidates are passionate about AI and natural language processing (NLP) and eager to contribute to pioneering projects.
Key Responsibilities
- Develop state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities including text, audio, and visual inputs.
- Design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
- Stay updated with the latest academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
- Participate in developing fine-tuning and evaluating AI models for complex NLP tasks with a focus on TTS and multimodal integration.
- Optimize models for scalability, efficiency, and deployment in real-world production systems ensuring seamless interaction between components in agentic workflows.
- Collaborate with cross-functional teams to translate research insights into tangible products that utilize m-LLMs and TTS technologies within agentic workflows.
Required Qualifications
Pursuing an advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, NLP, or a closely related field.Experience or coursework in large language models, deep learning, NLP, and TTS technologies.Proficiency in programming languages such as Python with experience in frameworks like TensorFlow or PyTorch.Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.Benefits
Dedicated mentorship and guidance from experienced professionals in the field.Opportunities to work on cutting-edge projects and collaborate with industry experts.A dynamic and inclusive work environment that encourages creativity and innovation.Others
Please note that we do not discriminate based on background, ethnicity, gender identity, sexual orientation, or any other protected characteristic. We welcome applicants from diverse backgrounds who share our passion for AI and NLP.
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