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Key skills for this role
Successful candidates will contribute to building and deploying AI-powered systems, including automated code generation, smart agents, retrieval-augmented generation (RAG) frameworks, and tools that integrate cutting-edge AI with scientific software and machine learning research. These systems aim to support drug discovery programs, increase research productivity, and improve the quality and efficiency of ML model training through intelligent data workflows and feedback loops. Candidates should have a strong interest in artificial intelligence (specifically, generative and agentic AI), with responsibilities spanning end-to-end system design: from idea conception and rapid prototyping to production-scale deployment. They should be comfortable working in a fast-paced environment where innovation, experimentation, and rigorous software engineering are all valued, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of AI. The expected annual base salary for this position is $250,000–$800,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors including the nature and extent of prior experience and educational background. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.
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New York City, USA
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New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
Private computational-biochemistry research company developing supercomputers, software, and precisely targeted drugs for disease treatment.
USD 250000-800000 yearly / year
Full-time
Senior
Hybrid
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