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# ML Engineer - Remote

- **Company:** TOWN'S EDGE CAR WASH, INC.
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $210,000 - $260,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Data Structures, Software Design Patterns, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, RabbitMQ, Software Engineering, System Programming, Cloud Platform System, Data Ingestion, Agentic-AI, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Programming Languages
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvvdjfi7f

## About the Role

* Advanced degree in Data Science, Machine Learning, Computer Science, or a related field
 * 10+ years of relevant professional experience in machine learning and software engineering
 * Proven leadership, management, and mentorship capabilities across cross-functional engineering teams in office, remote, and customer-facing environments
 * Experience in defining, scoping, planning, and executing complex production-level technical solutions
 * Strong communication skills with the ability to clearly articulate complex technical concepts to diverse audiences
 * Expertise in programming languages common to machine learning, with proficiency in Python and at least one systems programming language
 * Proficiency in algorithm design, data structures, production analytics, and the application of design patterns in cloud environments
 * Familiarity with modern software engineering tools and best practices
 * Active Secret or higher US security clearance and US citizenship

Preferred But Not Required

 * Experience with Kubernetes (K8s) and horizontally scaled architectures
 * Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
 * Experience building AI agents and workflow systems
 * Experience working with complex and varied data types
 * Experience delivering technology solutions in secure government environments

## Description

The Staff Machine Learning Engineer role at Striveworks is a pivotal position that combines technical expertise with leadership and customer engagement. Since 2018, Striveworks has been delivering AI systems that sustain performance in complex, real-world situations, and as a Staff Machine Learning Engineer, you will be instrumental in continuing this legacy. You will lead the design, development, and deployment of advanced AI systems, guiding projects from initial data shaping and analytics through to end-user delivery. This role requires close collaboration with both internal engineering teams and external customers, translating challenging problems into practical, production-ready solutions. The position offers a hybrid or remote working arrangement based out of Austin, Texas, with up to 25% travel to engage directly with clients and stakeholders. As a key technical leader, you will influence product direction based on real-world feedback and contribute to the company's mission of
building AI systems that truly work., * Lead the design, development, and delivery of machine learning systems from data ingestion through to end-user deployment

 * Collaborate closely with customers and internal teams to understand complex problems and translate them into scalable AI solutions
 * Manage and mentor cross-functional engineering teams, fostering technical excellence and professional growth
 * Scope and plan technical projects, ensuring timely and high-quality execution of deliverables
 * Monitor and maintain AI model performance in production environments, addressing model drift and degradation proactively
 * Engage in direct customer interactions to gather feedback and inform iterative product improvements
 * Contribute to the continuous improvement of software engineering practices and tooling within the organization
 * Ensure compliance with security requirements and maintain appropriate clearances for sensitive government projects