Truva AI
Senior Machine Learning Engineer - Gen AI
Truva AI, San Francisco, California, United States, 94199
Why Join
Truva.ai
Truva stands at the forefront of SaaS innovation, specializing in automating tasks, optimizing workflows, and delivering unparalleled operational efficiency with LLMs.Truva is backed by top VCs such as YCombinator and Fintech Collective and led by Gaurav - 2x founder and an alumnus of Stanford, and Anuja - an alumnus of Haas MBA from UC Berkeley. Together, they bring a combined experience of more than 25 years ranging from founding Forbes Top AI 50 startup to lead tech teams at FAANG companies, where they have been instrumental in developing applied ML solutions and infrastructure.Join our cutting-edge team at Truva and be part of a transformative journey in the tech world. Here, we thrive on pushing boundaries, fostering collaboration among the most innovative minds in the field. Embrace a culture that celebrates diversity and inclusivity, where your aspirations are not bound by conventional limits but by the expanse of your imagination. We provide the platform, tools, and unwavering support necessary for your professional growth and development. Join us at Truva and let your career soar to new heights.About The Role
We are in search of a Senior LLM ML Engineer who is passionate about driving innovation in generative AI and machine learning. The ideal candidate is someone deeply entrenched in the text domain, experienced in melding the capabilities of LLMs with traditional NLP algorithms to push the boundaries of what's possible in generative asset creation and game development. In this role, you'll work alongside our founders and a distinguished team comprised of 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.Our vision thrives on the vibrant synergy of face-to-face interactions. Join us in San Francisco, a city renowned for its pioneering spirit in technology and culture. Together, in this inspiring locale, let's shape the future while being immersed in an environment that celebrates innovation and collaboration.What You’ll Do
Generative Asset Creation : Conduct ongoing research into cutting-edge methods for generating text-based content.
LLM Integration : Leverage the full potential of large language models, integrating them with conventional NLP techniques to innovate new applications and solutions.
Experimentation with Prompt and RAG Approaches : 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.
What You Will Need
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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Truva.ai
Truva stands at the forefront of SaaS innovation, specializing in automating tasks, optimizing workflows, and delivering unparalleled operational efficiency with LLMs.Truva is backed by top VCs such as YCombinator and Fintech Collective and led by Gaurav - 2x founder and an alumnus of Stanford, and Anuja - an alumnus of Haas MBA from UC Berkeley. Together, they bring a combined experience of more than 25 years ranging from founding Forbes Top AI 50 startup to lead tech teams at FAANG companies, where they have been instrumental in developing applied ML solutions and infrastructure.Join our cutting-edge team at Truva and be part of a transformative journey in the tech world. Here, we thrive on pushing boundaries, fostering collaboration among the most innovative minds in the field. Embrace a culture that celebrates diversity and inclusivity, where your aspirations are not bound by conventional limits but by the expanse of your imagination. We provide the platform, tools, and unwavering support necessary for your professional growth and development. Join us at Truva and let your career soar to new heights.About The Role
We are in search of a Senior LLM ML Engineer who is passionate about driving innovation in generative AI and machine learning. The ideal candidate is someone deeply entrenched in the text domain, experienced in melding the capabilities of LLMs with traditional NLP algorithms to push the boundaries of what's possible in generative asset creation and game development. In this role, you'll work alongside our founders and a distinguished team comprised of 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.Our vision thrives on the vibrant synergy of face-to-face interactions. Join us in San Francisco, a city renowned for its pioneering spirit in technology and culture. Together, in this inspiring locale, let's shape the future while being immersed in an environment that celebrates innovation and collaboration.What You’ll Do
Generative Asset Creation : Conduct ongoing research into cutting-edge methods for generating text-based content.
LLM Integration : Leverage the full potential of large language models, integrating them with conventional NLP techniques to innovate new applications and solutions.
Experimentation with Prompt and RAG Approaches : 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.
What You Will Need
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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