8 months ago
Responsibilities
- Design and deploy advanced LLM models to automate complex manual processes across real-world industries.
- Build scalable data pipelines and optimize models for performance and accuracy.
- Prepare models for production and monitor and maintain deployed systems.
- Develop AI solutions for government workflows, energy production systems, healthcare systems, and other institutional challenges.
- Interact directly with government officials and collaborate with founders, AI researchers, and software engineers.
- Participate in code reviews, share knowledge, and promote high-quality engineering practices.
- Stay current with developments in machine learning and AI.
Requirements
- 0–2 years of industry experience in applied machine learning or related AI work.
- Bachelor’s, master’s, or doctoral degree in Computer Science, Machine Learning, Data Science, or a related field.
- Hands-on experience building generative AI applications such as agents, reasoning workflows, or retrieval-augmented generation systems.
- Solid understanding of large language model architecture and operation.
- Hands-on implementation experience with PyTorch, JAX, or TensorFlow.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Excellent problem-solving and analytical skills with a proactive approach.
- Ability to collaborate with cross-functional teams and work effectively in fast-paced environments.
- Willingness to own problems end-to-end and acquire necessary knowledge.
Benefits
- Medical, dental, and vision coverage at 100%.
- Paid maternity and paternity leave.
- 401(k).
- Daily lunches.
- Commuter benefits.
- Unlimited paid time off.
- Meaningful equity and competitive compensation are offered, but no specific compensation figures are stated.
Tech Stack
PyTorchTensorFlow
Categories
About Brain Co.
We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/