Research Engineer
Join Chai Discovery as an AI Research Engineer to advance AI drug design with a team of experts.
Posted by employer 2 years ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering.
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the AI Research Engineer will focus on designing, training, and optimizing Chai Discovery's advanced models and infrastructure, collaborating closely with research scientists. Key skills include proficiency in Python, deep learning frameworks like PyTorch, and experience with high-performance computing and large-scale data systems. This position is well-suited for individuals with a strong technical background in computer science or software engineering, particularly those familiar with GPU programming and performance engineering. Chai Discovery emphasizes a culture of innovation and ownership, making it an exciting environment for those passionate about AI in drug design.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Chai Discovery's career page.
- Chai Discovery has 15 other open roles including Software Engineer, Product, Security Lead, Forward-Deployed Scientist.
- 6527 active Python roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- 481 active PyTorch roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CUDA, Kubernetes, PyTorch, Python, Slurm.
- 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 Research Engineer role at Chai Discovery.
From the original posting
About Chai Discovery
Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach.
AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly, Pfizer, and Novartis are adopting our platform to power their drug discovery programs.
We value diverse perspectives and are ready to find greatness in unexpected places.
About the role
We are seeking an AI Research Engineer to help design, train, evaluate, and optimize Chai’s core models and infrastructure, working in tight loops with research scientists. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a craft-obsessed team of micro-pessimists and macro-optimists.
Develop and optimize all the infrastructure & tooling upon which our AI research depends.
Collaborate with AI researchers to understand, implement and optimize new research directions.
Integrate AI models into production systems, ensuring scalability and reliability.
About you
Ideal backgrounds include high-performance computing, custom CUDA kernels and GPU programming, AI/ML + data systems at scale.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Strong proficiency in programming languages such as Python and deep learning frameworks like PyTorch.
Deep understanding of operating system internals.
Experience with HPC infrastructure such as Slurm and Kubernetes.
Experience with performance engineering and profiling for CPU and CPU workloads.
Experience writing, building, and maintaining large-scale ETL pipelines.
We offer
The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.