Senior LLM Machine Learning Engineer
4 days ago
Truva is a pioneering SaaS company at the forefront of innovation, specializing in automating tasks, optimizing workflows, and delivering unparalleled operational efficiency with Large Language Models (LLMs).
Backed by top venture capital firms such as YCombinator and Fintech Collective, Truva is led by experienced founders with a combined background of over 25 years in founding successful startups and leading tech teams at top companies.
Our team thrives on pushing boundaries, fostering collaboration among innovative minds, and celebrating diversity and inclusivity. We provide a platform for professional growth and development, empowering our team members to reach new heights.
About the RoleWe are seeking a Senior LLM Machine Learning Engineer to drive innovation in generative AI and machine learning. The ideal candidate is someone deeply entrenched in the text domain, experienced in integrating LLMs with traditional NLP algorithms to push the boundaries of what's possible in generative asset creation and game development.
This role offers a unique opportunity to work alongside our founders and a distinguished team of experts, comprising Forbes 30 under 30 entrepreneurs, Stanford engineers, and Berkeley MBA graduates, all of whom have over a decade of experience in leading roles across the tech industry.
Key Responsibilities- Generative Asset Creation: Conduct ongoing research into cutting-edge methods for generating text-based content, leveraging the full potential of LLMs and conventional NLP techniques.
- LLM Integration: Experiment 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 cutting edge 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.
- Hybrid Work Competence: This is a hybrid role, requiring to work on-site at least 3 days a week.
We sponsor H1B and other visas such as TN (For Canada & Mexico Citizens), E3 (For Australia Citizens) & also do Green Card Processing for those who are eligible.
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