AI Engineer at Chai Discovery

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Drug DiscoveryIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Strong proficiency in programming languages like Python is required, alongside a deep understanding of operating system internals, particularly Unix. Experience with high-performance computing (HPC) infrastructure, including Slurm and Kubernetes, is essential, as is familiarity with performance engineering tools and techniques such as profiling, optimizing CPU and GPU workloads, and writing CUDA and Triton kernels. Experience with large-scale ETL pipelines and deep learning libraries like PyTorch is also necessary.

Responsibilities

The AI Engineer will collaborate with AI researchers to design, implement, and maintain software systems supporting AI-driven drug discovery applications. They will develop and optimize high-performance computing (HPC) infrastructure, integrate AI models into production systems and applications, ensuring scalability and reliability, and contribute to the overall AI-driven drug discovery pipeline.

Skills

Python

Unix

High-Performance Computing (HPC)

Slurm

Kubernetes

Performance Engineering

CUDA

Triton

ETL Pipelines

Deep Learning

Chai Discovery

Develops AI models for molecular predictions

About Chai Discovery

Chai Discovery develops AI foundation models that focus on predicting and reprogramming interactions between biochemical molecules, which are crucial for life. Their main product, Chai 1, is a multimodal model that can predict various molecular structures, such as proteins, small molecules, DNA, RNA, and covalent modifications. This model is available for free through a web interface, making it accessible for both academic researchers and pharmaceutical companies, especially in the field of drug discovery. Unlike many competitors, Chai Discovery emphasizes a user-friendly platform that allows clients to easily integrate AI into their research and development processes. The company's goal is to enhance the efficiency of molecular research and drug discovery by providing powerful AI tools that can accelerate scientific advancements.

None, CaliforniaHeadquarters

N/AYear Founded

$29.2MTotal Funding

SEEDCompany Stage

AI & Machine Learning, BiotechnologyIndustries

Benefits

Health Insurance

Company Equity

Professional Development Budget

Wellness Program

Risks

Increased competition from well-funded AI drug discovery startups threatens market position.

Rapid technological advancements may render current models obsolete without updates.

Dependence on commercial licensing makes revenue vulnerable to industry trend shifts.

Differentiation

Chai Discovery offers a free web-accessible AI model for molecular structure prediction.

Chai 1 excels in predicting proteins, small molecules, DNA, RNA, and covalent modifications.

The company serves both academic researchers and pharmaceutical companies with its AI platform.

Upsides

Recent $30 million investment boosts Chai Discovery's growth and development potential.

Growing demand for AI in drug discovery enhances Chai Discovery's market opportunities.

Partnerships with pharmaceutical companies can accelerate R&D processes using Chai 1.

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