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Astera

Research Scientist/Engineer

Emeryville HQ (Remote)$150k–$300kfulltimemidAdded 1 month ago

About this role

Join a research-focused team in Emeryville to advance foundational AGI principles by studying brain-inspired computational models. You'll conduct cutting-edge research on neural architectures, world models, and intelligence mechanisms while collaborating across neuroscience and engineering disciplines.

What you'll do

  • Develop neuroscience-inspired architectures and learning algorithms for world models
  • Design and execute experiments testing hypotheses about cognition, causality, and sensorimotor integration
  • Collaborate with neuroscientists and engineers to scale mathematical frameworks into systems
  • Contribute to open science initiatives including publications, code releases, and impact measurement
  • Explore deep learning, probabilistic models, and biologically-inspired computational approaches
  • Drive research direction with significant autonomy in a fast-paced startup environment

What they're looking for

  • Deep learning frameworks (PyTorch/JAX)
  • Deep learning and graphical models theory
  • Information theory
  • Neuroscience knowledge
  • Clean, reproducible research code
  • Causal reasoning and probabilistic modeling
  • Scientific hypothesis design and experimentation
  • Cross-disciplinary communication

Benefits

  • Freedom from quarterly revenue pressures and product constraints
  • Direct focus on fundamental AGI research breakthroughs
  • Collaborative, lean team environment without corporate bureaucracy
  • High autonomy and influence over research direction
  • Contribution to global AI safety and knowledge advancement
  • Work on high-impact 'big questions' in artificial intelligence
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Astera

Astera builds advanced infrastructure for large-scale distributed simulations, neuroscience research tools, and knowledge-sharing platforms aimed at accelerating scientific discovery. The company is hiring software engineers, ML researchers, and scientist-engineers to develop high-performance systems, specialized neuroscience instrumentation, and data-efficient machine learning approaches.

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Likely interview questions

  • Walk us through a recent research project where you implemented brain-inspired principles or biologically-motivated architectures. What specific insights from neuroscience guided your approach?
  • Describe your experience with deep learning frameworks like PyTorch or JAX. How do you ensure your research code is clean, reproducible, and ready for open-source release?