🕒 6 days ago
Build and test user-facing tools for collaborative research, turning researcher needs into prototypes and maintainable products across interfaces, data layers, and APIs.
Astera jobs
Browse active jobs at Astera.
10 open roles at Astera
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🕒 14 days ago
Shape product strategy for research collaboration tools by translating scientists’ feedback into priorities and prototypes, working closely with founders, designers, engineers, and researchers.
📅 Aug 26
Launch and shape an AI research program by developing reinforcement-learning methods and biological AI models trained on high-throughput experimental data, while building training infrastructure and partnering with experimental scientists.
📅 Jul 29
Develop and publish reinforcement learning methods and generative AI models that use high-throughput biological measurements to improve biological language models and connect model training with experimental design.
📅 Jul 23
Shape the control-system architecture and requirements for a DNA-origami electrostatic actuator, ensuring its sensor and drive designs support observability, closed-loop control, and system identification.
📅 Mar 29
Develop data-efficient machine learning architectures and model-induction methods, using mathematical and empirical research to improve generalization, investigate runtime inference, and advance experimental code.
📅 Feb 25
Develop foundational AGI research by designing recurrent architectures for hierarchical perception, evaluating generalization, and translating computational theories of intelligence into scalable systems.
📅 Feb 25
Develop hierarchical reinforcement-learning agents and world models, design experiments to evaluate cognition and learning, and translate theoretical frameworks into scalable systems with interdisciplinary teams.
📅 Feb 25
Develop foundational AGI research by creating brain-inspired world models, testing theories of cognition, and translating computational frameworks into scalable systems with neuroscience and engineering collaborators.
📅 Feb 25
Develop neuroscience-inspired energy-based world models and learning algorithms, test hypotheses about cognition and inference, and translate theoretical frameworks into scalable systems through cross-disciplinary research.
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