Unreal Gigs
Lead Machine Learning Engineer (Founding Member)
Unreal Gigs, San Francisco, California, United States, 94199
Compensation: Up to $250,000 annually with a competitive founding equity package and comprehensive benefitsAbout Us:
Join us as a pivotal Lead Machine Learning Engineer and become a cornerstone of our innovative team. In this foundational role, you will be instrumental in sculpting our product's future and steering the company's strategic direction. This is a unique opportunity to imprint your mark on our technological journey and grow with us.Your Role:Architect and refine our machine learning systems, taking responsibility from conceptualization to deployment, ensuring seamless integration and optimal functioning within our product environment.Partner with cross-functional teams to develop and refine algorithms that elevate code generation and comprehension, enhancing the developer experience.Champion the design, testing, and deployment of new product functionalities and improvements, driving forward our mission to revolutionize the industry.What We Need from You:A trailblazer with at least 4 years of machine learning experience in a software development context, eager to innovate and lead.Solid grounding in machine learning principles, with the ability to apply mathematical concepts effectively in real-world applications.Expertise in Python and C++, with a track record of leveraging these languages to solve complex problems.Exceptional communication skills, capable of articulating complex technical ideas clearly and persuasively.A strong educational foundation with a Bachelor’s, Master’s, or Ph.D. in Computer Science or related fields.Desirable Qualities:Experience with transformer models, including pre-training and fine-tuning methodologies.Proficiency in leading ML frameworks like TensorFlow, PyTorch, and Huggingface.Practical experience with cloud services (AWS, GCP) to power scalable, efficient ML solutions.Why Join Us?Be part of the founding team, with significant equity in a venture poised for substantial growth.A salary that matches your expertise, complemented by a fully paid benefits package including health, dental, and vision insurance.Enjoy a flexible approach to vacations and time-off, promoting work-life harmony.Dive into a dynamic role where you can impact every layer of the ML stack, from enhancing model efficiency to crafting robust model-serving infrastructure.Embark on a Journey of Innovation:
If you are passionate about leading-edge large language models (LLMs) and crave direct involvement in model training and operationalization, we would love to connect with you.
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Join us as a pivotal Lead Machine Learning Engineer and become a cornerstone of our innovative team. In this foundational role, you will be instrumental in sculpting our product's future and steering the company's strategic direction. This is a unique opportunity to imprint your mark on our technological journey and grow with us.Your Role:Architect and refine our machine learning systems, taking responsibility from conceptualization to deployment, ensuring seamless integration and optimal functioning within our product environment.Partner with cross-functional teams to develop and refine algorithms that elevate code generation and comprehension, enhancing the developer experience.Champion the design, testing, and deployment of new product functionalities and improvements, driving forward our mission to revolutionize the industry.What We Need from You:A trailblazer with at least 4 years of machine learning experience in a software development context, eager to innovate and lead.Solid grounding in machine learning principles, with the ability to apply mathematical concepts effectively in real-world applications.Expertise in Python and C++, with a track record of leveraging these languages to solve complex problems.Exceptional communication skills, capable of articulating complex technical ideas clearly and persuasively.A strong educational foundation with a Bachelor’s, Master’s, or Ph.D. in Computer Science or related fields.Desirable Qualities:Experience with transformer models, including pre-training and fine-tuning methodologies.Proficiency in leading ML frameworks like TensorFlow, PyTorch, and Huggingface.Practical experience with cloud services (AWS, GCP) to power scalable, efficient ML solutions.Why Join Us?Be part of the founding team, with significant equity in a venture poised for substantial growth.A salary that matches your expertise, complemented by a fully paid benefits package including health, dental, and vision insurance.Enjoy a flexible approach to vacations and time-off, promoting work-life harmony.Dive into a dynamic role where you can impact every layer of the ML stack, from enhancing model efficiency to crafting robust model-serving infrastructure.Embark on a Journey of Innovation:
If you are passionate about leading-edge large language models (LLMs) and crave direct involvement in model training and operationalization, we would love to connect with you.
#J-18808-Ljbffr