7 months ago
Responsibilities
- Optimize machine learning models using pruning, quantization, and distillation for edge devices and high-traffic cloud environments.
- Wrap models in high-performance APIs and integrate them into the broader software ecosystem.
- Build and maintain machine learning inference engines and frameworks that support AI Scientist experimentation at scale.
- Collaborate with AI Scientists to refactor research code into production-grade, maintainable software.
- Focus production systems on latency, reliability, and data integrity.
Requirements
- 5+ years of software engineering experience or equivalent university time, with deep experience aligned to machine-learning-specific systems and distributed computing.
- Proficiency in C++ and Python.
- Proficiency with Docker and Kubernetes.
- Experience with vector databases such as Pinecone and Weaviate.
- Experience with CI/CD for machine learning.
- Bachelor's or master's degree in Computer Science or Software Engineering.
- Alignment with the company's values of truth, ownership, tenacity, and humility.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision benefits, including a high-deductible HSA option with company contribution.
- 401(k) match for U.S.-based employees.
- Flexible PTO policy.
- Parental leave for eligible employees.
- Continuing education support.
- Basic company-paid life insurance and supplemental life insurance.
- Company-paid short- and long-term disability coverage.
- Free parking for in-office employees.
- Benefits may vary for employees hired outside the United States based on local law, country-specific requirements, and hiring entity.
Tech Stack
Categories
About webAI
webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized models with data sovereignty. Founded in 2020 and headquartered in Austin, Texas, the privately held company focuses on distributed AI/LLM infrastructure across local and cloud environments.