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

# Senior Machine Learning Engineer at webAI

- **Company:** webAI
- **Location:** Austin, TX
- **Employment:** full-time
- **Posted:** 2026-04-16
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/webAI/f7ea6aec-c1ef-419c-a92b-f2187b5fd1b1/application

**Skills:** PyTorch, TensorFlow, Hugging Face Transformers, LoRA, PEFT, Quantization, Pruning, Distillation, Vector Databases, RAG Pipelines, Model Compression, Model Optimization, Cloud Deployment, Edge Deployment, Multi-modal AI, Synthetic Data Generation, Edge AI, Federated Learning, Offline Inference Systems, AI Governance

> The Senior Machine Learning Engineer will transform prototype AI models into scalable, production-ready systems for public sector initiatives. Responsibilities include designing agentic workflows, productionizing models, and optimizing for distributed and edge environments using PyTorch, TensorFlow, and RAG pipelines.

## Job description

Special Notice:

This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI.

About the Role:

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments.

You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments.

Responsibilities:

- Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
- Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
- Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
- Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
- Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
- Work with multi-modal AI systems across computer vision, audio, and natural language domains.
- Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions.

Qualifications:

- Active US Security clearance
- 4+ years of experience in applied AI, ML engineering, or production AI systems.
- Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
- Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
- Expertise in model compression and optimization (quantization, pruning, distillation).
- Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone).
- Familiarity with multi-modal models and synthetic data generation methods.
- Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments.

Preferred Skills:

- Experience with edge AI, federated learning, or offline inference systems.
- Understanding of AI governance and compliance frameworks relevant to public sector deployments.
- Experience integrating models into large scale distributed systems or microservice architectures.
- Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.
- Strong understanding of GPU computing, CUDA, and performance profiling.

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 (U.S.-based employees only)
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription (U.S.-based employees only)
- 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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