Senior/Staff AI Scientist – Polytope Bio

🕒 August 26

🇺🇸 United States – Remote

💵 $200k - $300k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Astera Institute

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔬 Science

🤖 Artificial Intelligence

Science • Artificial Intelligence

Astera Institute is an organization dedicated to empowering visionary, high-leverage science and technology projects that aim to create transformative progress for humanity. With a focus on activating exponential potential in various scientific and technological fields, Astera Institute aspires to foster innovations that can lead to benevolent super-intelligence, longevity advancements, and significant improvements in scientific research and engineering.

📋 Description

• Work closely with the technical founder and team to develop and execute the scientific vision • Develop cutting-edge modeling approaches and iterate rapidly on new ideas • Design, implement, and improve model post-training methods translating high-throughput biological measurements into direct reward signals for biological language models • Architect model training infrastructure • Build, run, and debug models, training loops, and evaluation metrics • Partner with the experimental team to align laboratory measurements and model learning into a cohesive system • Develop and publish new reinforcement learning methods and generative AI models leveraging datasets from the high-throughput biology platform

🎯 Requirements

• PhD in machine learning, computational biology, or a related field, with a minimum of 1-2 years of post-PhD research or industry experience (accomplished researchers without a PhD are also encouraged to apply) • Experience training models from scratch, including ownership of real training runs and debugging • Hands-on experience with generative diffusion models and/or transformer architectures • 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 early-stage environment • Comfort operating with ambiguity and desire to build something new • Excitement to tackle hard problems and potentially transition into a technical co-founder role • Familiarity with biological research such as protein modeling, sequence models, structural biology, or adjacent areas • Experience building and scaling training infrastructure on large GPU clusters • Preference for candidates able to co-locate in NYC or SF Bay Area; remote work possible for the right candidate • Must be legally authorized to work in the US • Must disclose whether future sponsorship will be required

🏖️ Benefits

• Potential to evolve into a co-founding technical 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