Innovative Text Generation Engineer
4 days ago
At the forefront of technological advancements, Truva.ai is a leader in automating tasks, optimizing workflows, and delivering unparalleled operational efficiency using large language models (LLMs).
Funded by top venture capital firms such as YCombinator and Fintech Collective, and led by experienced founders Gaurav and Anuja, we bring over 25 years of combined expertise in developing cutting-edge applied ML solutions and infrastructure.
We're a dynamic team that thrives on collaboration, innovation, and pushing boundaries. Join us in shaping the future of tech, where diversity and inclusivity are celebrated, and your aspirations are limitless.
About This RoleWe're seeking a highly skilled Senior LLM Machine Learning Engineer to drive innovation in generative AI and machine learning. As an expert in text generation and NLP algorithms, you'll work closely with our founders and a talented team of engineers to push the boundaries of what's possible in generative asset creation and game development.
In this role, you'll be part of a vibrant synergy of face-to-face interactions in San Francisco, a city renowned for its pioneering spirit in technology and culture.
Key Responsibilities- Generative Asset Creation: Conduct ongoing research into cutting-edge methods for generating text-based content, leveraging the full potential of large language models and integrating them with conventional NLP techniques.
- LLM Integration: Develop innovative applications and solutions by experimenting with prompt engineering and Retrieval-Augmented Generation techniques to enhance model performance and output relevancy.
- Model Strategy Development: Experiment with various models to identify the most effective strategies for deploying different models across diverse business use cases, ensuring optimal outcomes and efficiency.
- Trend Analysis: Stay updated with the latest trends in generative deep learning methods, ensuring Truva remains at the forefront of technological advancements.
- Advanced Knowledge in Machine Learning: Deep understanding of machine learning, NLP, and generative models, especially LLMs.
- Programming Proficiency: Expertise in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Research and Development: Strong background in conducting research and implementing findings into practical solutions.
- Problem Solving: Exceptional ability to solve complex problems creatively and efficiently.
- Communication: Excellent command of English, capable of articulating complex concepts clearly and effectively.
- Collaboration: Proven track record of working effectively in team environments, contributing to innovative product development.
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