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Principal AI Scientist

đź•’ vor 2 Monaten

🏄 California, New York – Remote

infoinfo

đź’µ $250.000 - $350.000 / Jahr

⏰ Vollzeit

đź”´ Experte

đź§  KI-Forscher

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von Astera Institute, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 2 Monaten

Noch offen auf der Website von Astera Institute. GeprĂĽft vor 5 Stunden.

Logo of Astera Institute

Astera Institute

1 - 10 Mitarbeiter

🔬 Wissenschaft

🤖 Künstliche Intelligenz

Science • Artificial Intelligence

Das Astera Institute unterstützt visionäre, hochwirksame Wissenschafts- und Technologieprojekte, die einen grundlegenden Fortschritt für die Menschheit ermöglichen sollen. Im Mittelpunkt steht die Erschließung exponentieller Potenziale in verschiedenen wissenschaftlichen und technologischen Bereichen. Das Astera Institute möchte Innovationen fördern, die zu wohlwollender Superintelligenz, Fortschritten in der Langlebigkeitsforschung sowie deutlichen Verbesserungen in der wissenschaftlichen Forschung und im Engineering beitragen können.

Beschreibung

• Partner directly with the founder to shape the scientific vision, research direction, and technical execution • Design, implement, and improve model post-training methods that translate high-throughput biological measurements into direct reward signals for biological language models • Architect model training infrastructure with the technical founder • Build, run, and debug models, training loops, and evaluation metrics • Partner with the experimental team to integrate laboratory measurements and model learning into a cohesive system • Develop and publish new reinforcement learning methods and bio AI models • Help launch and potentially grow the AI research program

🎯 Anforderungen

• PhD in machine learning, computational biology, or a related field with a minimum of 2 to 5 years of industry research experience post-PhD • Accomplished researchers without a PhD are also encouraged to apply • Trained models from scratch, not just fine-tuned or called APIs • Owned real training runs and knows how to debug them • Hands-on experience with generative diffusion models and/or transformer architectures • Deep familiarity with modern reinforcement learning and preference-optimization methods for deep learning • Track record of strong research via publications, open-source work, shipped models, or equivalent evidence of driving results • Highly self-directed and able to thrive in a tight-knit, collaborative founding partnership • Comfort operating with ambiguity and research ownership • Excitement to build infrastructure and grow the team • Familiarity with biological research is a strong plus • Experience building and scaling training infrastructure on large GPU clusters is a strong plus • Past team management and technical leadership experience is a strong plus • Preference for candidates able to co-locate in NYC or SF Bay Area • Legally authorized to work in the US • Must address whether future sponsorship will be required

🏖️ Vorteile

• Potential for a co-founding leadership role in a future spinout, contingent on project success and mutual fit • Authorship of high-impact open-source datasets, methods, and models • Significant secured runway and dedicated GPU resources • Full benefits package including health insurance, a company sponsored retirement plan, vision, dental, and more

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