Jobs at Astera

The In Vitro Neuroscientist will design and execute experiments focusing on neuronal network activity using electrophysiology and imaging, requiring expertise in neuronal cell culture and data analysis.

Build core infrastructure for distributed simulation systems focusing on biological systems and physics-based environments, optimizing for performance and networking.

Coordinate project efforts across a multidisciplinary team, manage communication, resolve risks, track budgets, and foster a collaborative environment.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

The Machine Learning Researcher will develop new architectures for data-efficient model induction, focusing on optimizing generalization performance and runtime inference in networks, while contributing to a performance-driven code base.

The Staff Software Engineer will architect high-performance infrastructure for AI models, design RL environments, optimize code, and resolve technical challenges to enhance research efficiency.

Lead the vision, strategy, and execution of The Stacks platform, ensuring alignment with Astera's mission while managing product development, user research, and performance metrics.

The Principal Software Engineer will define architecture for high-performance infrastructure, optimize RL environments, and turn prototypes into scalable systems, while resolving technical challenges.

The role involves developing bi-directional architectures for hierarchical perception in AGI, designing experiments, and collaborating across disciplines.

The Senior Software Engineer will architect systems for training models, optimize RL environments, write production-quality code, and resolve technical bottlenecks for research.

The Head of Bio AI will architect Radial's AI infrastructure, lead program development, build a technical team, and engage with scientific collaborators. They will prototype systems and promote a culture of technical rigor in the life science domain.

The Research Scientist will explore and analyze the internal structures of neural networks, develop theories of intelligence, and create robust models in AI research, particularly focusing on belief discovery and generalization.

Develop foundational principles of Artificial General Intelligence (AGI) and work on hierarchical reinforcement learning. Collaborate with neuroscientists and engineers to create scalable systems.

The Site Reliability Engineer will manage digital infrastructure, ensuring access to compute resources, automating processes, and maintaining resource visibility for researchers.

The role involves developing foundational principles of Artificial General Intelligence through research on brain-like world models, designing experiments, and collaborating across disciplines.

The Research Scientist will develop architectures for energy-based models, design experiments for high-level cognition, and collaborate across disciplines.