Software Engineer, Scientific Products
Build Chai's software factory for medicine, turning AI models into tools for drug designers.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 4 hours ago
AI in the day-to-day
Chai trains frontier models that learn biochemical structure and interaction to aid drug discovery.
Requirements
- Experience
- 2+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Software Engineer at Chai Discovery will focus on developing innovative software tools that transform advanced AI models into practical applications for drug design. Proficiency in modern frameworks like React or Vue, along with backend experience in Node, Go, or Python, is essential for success. This position is ideal for engineers with a strong sense of ownership and a passion for solving complex problems, particularly those who thrive in a fast-paced, collaborative environment. Chai Discovery is at the cutting edge of AI in life sciences, offering a unique opportunity to shape the future of medicine.
Joblaze insights
Quick facts
- How much experience is required?
- At least 2 years of relevant experience for this Software Engineer, Scientific Products role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Node, Python, React, TypeScript, Vue.
- What seniority level is this role?
- Chai Discovery targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Scientific Products role at Chai Discovery.
From the original posting
About the role
Build the computational workspace where scientists use Chai’s models and agents to design medicines. Molecular engineering still needs its own abstractions and product layer. You will help invent this category of software, owning the last mile from model capability to the experiments scientists run and what they learn.
Work directly with scientists and Chai’s model researchers to understand their problems and decide what to build.
Own the work from the first customer conversation through to a product they depend on and appreciate, going as deep into the science, compute, models, research, and software as the problem requires.
Work forward deployed with our customers, ship across the stack, and refine the product and its core abstractions as you learn.
About you
We look for engineers who can make sense of messy real-world problems and build simple solutions end to end. Former founders and engineers who have owned substantial products are a particularly good fit. Familiarity with the scientific domain is not required. We value technical depth, product judgment, and a record of building things that are meaningful and useful to people.
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