ML Research Engineer at Symbolica AI

Symbolica, an AI research lab, is seeking a Machine Learning Research Engineer to contribute to the development of symbolic reasoning models. The role involves collaborating with researchers to translate mathematical insights into scalable code implementations.

Responsibilities:

• Conducting research into symbolic and categorical reasoning models.
• Translating complex theoretical insights into scalable, efficient coding implementations.
• Developing and optimizing machine learning pipelines for structured reasoning tasks.
• Building robust experimentation platforms for large-scale training and evaluation of models.
• Collaborating with researchers to explore novel architectures and methodologies.
• Benchmarking, debugging, and refining models to ensure reliability.
• Staying at the forefront of advancements in mathematics, machine learning, and AI research.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
• Strong theoretical background in abstract mathematics.
• Expertise in machine learning model development and optimization.
• Proficiency in at least one functional programming language or extensive experience with Python for deep learning applications.
• Solid software engineering skills.
• Experience deploying machine learning models at scale and in production environments.
• Passion for exploring the intersection of mathematics and AI.

Symbolica offers:

• Competitive compensation, including an attractive equity package.