Lead Machine Learning Engineer (Founding Member)

Compensation: Up to $250,000 annually with a competitive founding equity package and comprehensive benefits

About 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.