Jobs at Chai Discovery

Build and optimize distributed machine learning infrastructure for large-scale model training and inference. Responsibilities include profiling training runs, improving compute, communication, and storage efficiency, developing parallelism and quantization strategies, creating CUDA and Triton kernels, and ensuring fault tolerance, checkpointing, deterministic orchestration, and reliability across GPU clusters. The role partners closely with research scientists to scale new model architectures and training recipes.

Develop agent-powered auto-research systems that automate experimentation, evaluation, training, inference, and deployment workflows. Build tooling, datasets, and abstractions enabling researchers and AI agents to run experiments, assess results, and accelerate research iteration. Optimize model training velocity and research throughput while contributing to frontier AI and biology applications.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.

Own Chai’s end-to-end financial operating system, including the close process, financial modeling, cash forecasting, spend visibility, revenue recognition, compliance, and leadership reporting. This first finance hire will manage complex AI compute, data, and pharmaceutical contract finances while improving workflows and supporting founders in a fast-moving startup environment.

Apply AI-enabled protein design and computational methods to solve novel biological and drug discovery problems for pharmaceutical partners. Serve as a scientific power user and advisor, translate partner findings into product and model improvements, and collaborate with industry scientists and internal AI research teams across antibody engineering, protein design, and therapeutic programs.

The Engagement Management role involves building partnerships, ensuring their success, collaborating with scientists, and shaping the company's future with actionable insights.

Lead and scale data generation for AI-driven drug discovery: manage lab-in-the-loop platforms, coordinate CROs and external partners, translate scientific aims into vendor-ready assays and SOWs, track samples and deliverables, and define a vision to grow data operations rapidly while working cross-functionally with research and science teams.

Chai Discovery states that it does not offer internships but invites individuals passionate about AI, frontier biology, and advancing medicine to share their background for future contact. The company develops AI-powered molecular design tools and works with major pharmaceutical companies on drug discovery. It offers opportunities to work with leading researchers on high-impact AI and biology challenges, within a fast-paced, ownership-driven culture.

Develop biologics at Chai Discovery, design constructs, run expression and purification campaigns, and create assays for antibody discovery using AI.

The job invites individuals to express interest by submitting resumes or LinkedIn profiles, emphasizing diversity and contributions to the mission.

As the first Product Designer, you'll convert cutting-edge AI science into user-friendly tools, managing the entire design process.

As a Product Software Engineer, you'll develop user-friendly web applications using modern frameworks, collaborating closely with teams to enhance drug discovery processes.

We are seeking a Software Engineer focused on building resilient infrastructure systems for AI drug discovery, enhancing developer productivity and ensuring compliance with biopharma standards.

Seeking a scientist with a strong background in drug discovery and antibody engineering to collaborate with biopharmaceutical partners and ensure successful AI platform engagement.

Conduct cutting-edge AI research in computational modeling for biological applications; develop, train, and evaluate large models for proteins, antibodies, or small molecules; design tractable experiments, wrangle large biological/chemical datasets, compute metrics, and visualize results; collaborate with wet-lab scientists, engineers, and product leads; communicate findings and iterate to translate research into therapeutic impact.

The VP, Business Development will drive strategic partnerships and manage complex deals while overseeing contracting workflows and maintaining IP strategy.

The role involves communicating effectively, innovating in talent acquisition, and building a strong organizational foundation for the talent function at Chai.