Senior Rust Engineer, webAI
Unified execution layer for AI
Open for applications
Unified execution layer for AI
21-100 employees
Open for applications
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, or a related field
- 3+ years of experience writing production-grade Rust applications
- Strong background in systems architecture and design patterns for scalable, resilient applications
- Deep knowledge of distributed system architectures, including microservices, data consistency models, and messaging systems (e.g., Apache Kafka, MQTT)
- Strong understanding of low-level networking protocols, threading, asynchronous programming, and Rust concurrency models
Desirable
- Experience with ML frameworks and techniques (e.g., TensorFlow, PyTorch, training, data/model parallelism)
- Knowledge of AI/ML model deployment and scaling
- Knowledge of security best practices for distributed systems
- Familiarity with containerization technologies (e.g., Docker, Kubernetes)
What the job involves
- We are seeking an experienced Senior Rust Engineer to join our engineering team
- The ideal candidate will have a strong background in designing, implementing, and maintaining scalable distributed systems
- You will work closely with cross-functional teams to build robust and efficient systems that meet the demands of our growing user base
- Design, implement, and maintain distributed systems that are scalable, reliable, and efficient
- Collaborate with product managers, software engineers, and data scientists to understand system requirements and deliver innovative solutions
- Optimize system performance, identify bottlenecks, and implement solutions to enhance system scalability and reliability
- Conduct performance testing and implement strategies to improve system performance
- Ensure high availability and fault tolerance of distributed systems
- Stay updated with the latest industry trends and technologies to continuously improve our systems and processes
- Mentor junior engineers and provide technical guidance to the team
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
Insights
Few candidates hear
back within 2 weeks
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
Articles
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.
Salary benchmarks
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