Full-Time

AI Engineer

Confirmed live in the last 24 hours

Chai Discovery

Chai Discovery

Develops AI models for molecular predictions

AI & Machine Learning
Biotechnology

Mid, Senior

San Francisco, CA, USA

Category
Applied Machine Learning
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Kubernetes
Python
CUDA
Pytorch
Linux/Unix

You match the following Chai Discovery's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • Strong proficiency in programming languages such as Python.
  • Deep understanding of operating system internals (Unix).
  • Experience with high-performance computing (HPC) infrastructure such as Slurm and Kubernetes.
  • Experience with performance engineering (familiarity with profiling tools, optimizing CPU and GPU workloads, writing CUDA and Triton kernels, and so forth)
  • Experience writing, building, and maintaining large-scale ETL pipelines.
  • Experience using deep learning libraries such as PyTorch.
Responsibilities
  • Collaborate with AI researchers to design, implement, and maintain software systems that support AI-driven drug discovery applications.
  • Develop and optimize high-performance computing (HPC) infrastructure.
  • Integrate AI models into production systems, platforms, and front-end applications, ensuring scalability and reliability.

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.

Company Size

N/A

Company Stage

Seed

Total Funding

$29.2M

Headquarters

California

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Chai Discovery unique

  • 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.

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Benefits

Health Insurance

Company Equity

Professional Development Budget

Wellness Program

Company News

Yahoo Finance
Sep 11th, 2024
OpenAI, Thrive Capital Back Six-Month-Old AI Drug Discovery Startup

(Bloomberg) -- Chai Discovery, an artificial intelligence biology startup founded six months ago, has raised nearly $30 million from heavyweights Thrive Capital and OpenAI to bring AI to drug discovery.Most Read from BloombergHow Americans Voted Their Way Into a Housing CrisisAfter a Record Hot Summer, Pressure Grows for A/C MandatesChicago Halts Hiring as Deficit Tops $1 Billion Through 2025UC Berkeley Gives Transfer Students a Purpose-Built Home on CampusChai develops AI foundation models that