AI Software Engineer, webAI
+ performance-based incentives.
Unified execution layer for AI
Job no longer available
Unified execution layer for AI
21-100 employees
Job no longer available
+ performance-based incentives.
21-100 employees
Company mission
To revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
- Minimum of 5 years of experience in software engineering with a focus on AI/ML
- Strong proficiency in C++ and Python for software development
- Experience binding C/C++ into Python (binding in other languages a bonus)
- Proficiency with C++ build systems like CMake
- Proven experience with PyTorch; familiarity with MLX is a plus
- Strong understanding of computer science fundamentals and algorithms
- Familiarity with AI/ML concepts, including LLM and computer vision model architectures
- Familiarity with distributed systems and parallel computing concepts
Desirable
- Experience with CUDA programming and GPU driven compute acceleration
- Knowledge of ML model quantization and optimization techniques
- Familiarity with MLOps tooling and practices
- Contributions to open-source ML projects
- Experience developing software within distributed systems
- Experience contributing to AI frameworks
What the job involves
- We're seeking an experienced AI Software Engineer to join our engineering team. As an AI Software Engineer at our company, you'll be at the intersection of cutting-edge AI research and software engineering
- You'll work on transforming state-of-the-art ML models into highly efficient, production-ready systems that can operate at scale
- This role combines the precision of systems engineering with the innovation of AI development, requiring both strong software engineering fundamentals and ML expertise
- You'll collaborate with our research teams to implement novel AI architectures while ensuring our systems maintain high performance, reliability, and efficiency
- This is an opportunity to shape the future of AI infrastructure while working on problems that push the boundaries of what's possible in machine learning
- Build, document, optimize, and maintain (through CI/CD and testing) AI related software packages and services
- Design and implement efficient, production-ready AI/ML systems
- Collaborate closely with research, engineering, and product teams to understand requirements
- Integrate and optimize AI/ML algorithms and research derived by R&D into platform packages and services
- Debug complex issues within our AI stack
Our take
On a mission to democratize artificial intelligence, WebAI has built a decentralised development platform that minimises the amount of data required to build AI models. This directly challenges the assumption that big data is intrinsic to AI, and enables for local, ownable and customizable models to be made.
The company's unified execution layer helps to streamline the training and deployment of models in a way which is both scalable and flexible. Enterprises can use their existing infrastructure to run powerful models while ensuring their data never leaves their devices. Plus they can tailor each model to their needs with no coding needed.
WebAI believes that off-the-shelf AI models lack the flexibility and control required to be used in real-world tasks, which is what its platform helps to combat. This approach has attracted impressive investment that will be used to grow its development efforts and elevate its mission to democratise AI.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2024
$60m
SERIES A
Dec 2022
$17m
SEED
Total funding: $77m
Company benefits
- Performance-based incentives
- Comprehensive health, dental, and vision benefits package
- $200/mos Health and Wellness Stipend
- $400/year Continuing Education Credit
- Flexible work week
- Free parking for in-office employees
- Unlimited PTO
- Parental & Bereavement Leave
- Supplemental Life Insurance
Company HQ
Congress Avenue Historic District, Austin, TX
Leadership
David Stout
(Co-Founder & CEO)Also Founder at Ghost House Technology.
Ethan Baird
(Co-Founder & Chief Research Officer)Previously Software Programmer at Ghost House Technology and Web Technician at Revision Marketing and Design.
Tyler Mauer
(Co-Founder & Chief Innovation Officer)Previously Director of Product and Market at Ghost House Technology, and consulted at YETi, RANDY'S HOUSE and Shinola.
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