---
title: 'Staff Machine Learning Engineer at webAI'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-webai-austin-tpbsc07s1ee0'
type: 'job'
last_seen: '2026-09-09'
---

# Staff Machine Learning Engineer at webAI

- **Company:** webAI
- **Location:** Austin, TX
- **Employment:** full-time
- **Posted:** 2026-07-10
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/webai/3f4040c2-f0b0-41bd-838d-285e88dd7f5e

## Job description

About Us:

webAI is the first end-to-end private AI platform. Enterprises and Governments use webAI to bring AI to their data, powering specialized intelligence trained on their own knowledge and compounding in value with every use.

Our approach is guided by a simple philosophy: AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. We are offering a superior career opportunity to join a dynamic and fast-growing team that fosters an exciting and growth-oriented work culture; an opportunity where you can truly put your name on meaningful change for an entire civilization.

About the Role:

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. You will lead core product initiatives across on-device inference optimization, quantization, RAG, agentic framework and/or tool calling. You will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team.

Responsibilities:

- Lead the development and optimization of Large Language Models and Mixture of Experts models.
- Collaborate with cross-functional teams to integrate ML models into our platform.
- Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
- Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
- Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.

Qualifications:

- Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
- Proven track record of building and innovations through publications or industry experience.
- Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
- Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
- Demonstrated ability to lead complex projects and work collaboratively in a team environment.
- Excellent problem-solving skills and a passion for innovation.

Preferred Skills:

- Experience with cloud computing services (AWS, Azure, GCP).
- Knowledge of Big Data technologies (Hadoop, Spark).
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
- Publications or presentations in recognized Machine Learning journals or conferences.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

- Truth - Emphasizing transparency and honesty in every interaction and decision.
- Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
- Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
- Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.

- Competitive salary
- Comprehensive health, dental, and vision benefits package
- 401(k) match
- Equity options
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription
- Free parking for in-office employees
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

## About webAI

## Company Overview
- **One-liner**: webAI provides an end-to-end platform for building, deploying, and operating custom AI on local infrastructure, ensuring data sovereignty and low latency.
- **Entity Type**: Private (Series A‑II, $60M total raised)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2019 (source: webai.com) / 2020 (source: CB Insights)
- **Founders**: David Stout (CEO), Ethan Baird (Chief Research Officer), Tyler Mauer (Chief Product Officer)

## Core Business
- Primary industry/industries: Enterprise AI infrastructure, sovereign AI, edge computing
- Target customers: B2B – large enterprises and public‑sector organizations in healthcare, manufacturing, financial services, aviation, retail, and defense
- Mission or purpose statement: “AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute.” (source: [webai.com/about](https://www.webai.com/about))

## Products & Services
- **Navigator**: Build, train, and deploy custom AI models on local infrastructure with full transparency and control. (source: [webai.com](https://www.webai.com))
- **Companion**: An on‑device assistant that connects employees to private AI, tailored to industry workflows (e.g., aviation, manufacturing). (source: [webai.com](https://www.webai.com))
- **Runtime**: Orchestrates distributed AI workloads across heterogeneous hardware, scaling from a single device to entire clusters. (source: [webai.com](https://www.webai.com))
- **webFrame**: Delivers optimized inference and training with adaptive quantization (“Entropy‑Weighted Quantization”) achieving near 99.5% accuracy. (source: [webai.com](https://www.webai.com))
- **Network**: Connects every model, dataset, and device through a secure, local fabric for high‑speed collaboration without the cloud. (source: [webai.com](https://www.webai.com))
- **CLI**: Full command‑line control for developers to build, extend, and manage AI environments at scale. (source: [webai.com](https://www.webai.com))

## Competitive Advantages
- **Data sovereignty**: Full ownership of AI models and data; models run on local infrastructure, not in the cloud.
- **Low latency & resilience**: Edge deployments enable real‑time inference without cloud dependency; works offline.
- **Proprietary optimization**: Entropy‑Weighted Quantization compresses models while maintaining ~99.5% accuracy.
- **Full‑stack platform**: Covers development (Navigator), deployment (Runtime/CLI), inference (webFrame), and collaboration (Network).

## Strategic Focus
- Current priorities: Scaling custom, sovereign AI into regulated industries (healthcare, finance, defense); building the “operating system of the future” for edge intelligence; achieving 2030 vision of billions of specialized models embedded in everyday systems. (source: [webai.com/about](https://www.webai.com/about))
- Growth direction: Public sector partnerships (President of Public Sector Dr. Jason Rathje); vertical solutions for aviation, manufacturing, and retail.

## Why Work Here
- **Culture**: Core beliefs include ownership, truth, tenacity, humility, and the conviction that AI must be local and accessible.
- **Work model**: Flexible work environment with a strong bias toward work‑life balance; “Unlimited PTO.”
- **Perks** (source: [webai.com/careers](https://www.webai.com/careers)):
  - Comprehensive health coverage for body and mind
  - Parental leave and fertility support
  - 401(k) with company contribution
  - Learning stipend for professional development
  - Equity options
- **Engineering culture**: Developer‑first (CLI, Runtime) with focus on solving complex distributed‑systems and ML challenges; autonomy to shape the platform.

## Sources
1. [webai.com](https://www.webai.com)
2. [webai.com/about](https://www.webai.com/about)
3. [webai.com/careers](https://www.webai.com/careers)
4. [CB Insights](https://www.cbinsights.com/company/webai)
5. [LinkedIn](https://www.linkedin.com/company/webai-official)

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