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# Machine Learning Engineer I

- **Company:** Axon Enterprise, Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,750.0 - $241,200.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Big Data, Cloud Computing, Distributed Systems, Python (Programming Language), Tensorflow, Search Technologies, Software Engineering, Systems Architecture, Video Editing, Pytorch, Large Language Models, Indexer, Kubernetes, Information Technology, Webforms, Machine Learning Operations, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-engineer-i-axon-2-9736766

## About the Role

* Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
 * 7+ years of software engineering experience and a proven track record of architecting, operating, and maintaining large-scale distributed platforms in production.
 * Deep experience building systems across the ML lifecycle: data pipelines, training and evaluation infrastructure, model serving and inference at scale, and production monitoring.
 * Experience with large-scale data systems handling video or other high-volume, high-dimensional multimodal data.
 * Strong software engineering fundamentals and proficiency in Python, along with familiarity with ML frameworks such as PyTorch or TensorFlow.
 * Hands-on experience operating cloud infrastructure at scale (AWS, GCP, or Azure), including distributed systems and container orchestration.
 * Excellent problem-solving skills and the ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments, and operations.
 * Strong communication skills and comfort partnering closely with scientists, engineers, and product managers., * Master's or PhD in Computer Science, Engineering, or an equivalent highly technical field.
 * Experience building video processing or video understanding pipelines at scale.
 * Experience with retrieval systems, vector search, and RAG infrastructure.
 * Experience serving foundation models, or building agentic systems and LLM tool-use orchestration.
 * Familiarity with responsible AI, de-identification, and privacy-preserving techniques.

## Description

Reports to: Tom Faulhaber, Director of Software Engineering, AI

 * Own end to end the systems and infrastructure that take multimodal and video models from research prototype to reliable, scalable production.
 * Design and operate data and ingest pipelines for large-scale video and multimodal corpora - storage, processing, labeling, and retrieval.
 * Build and scale training and evaluation infrastructure, and turn scientists' evaluation methodology into automated, reproducible measurement systems.
 * Build inference and serving systems for real-time and batch multimodal workloads, optimizing latency, throughput, and cost.
 * Build the retrieval, indexing, and embedding infrastructure (vector search at scale) and the orchestration and tool-use plumbing behind agentic reasoning over video and multimodal data.
 * Ensure the platform is secure, privacy-preserving, and responsible by design.
 * Set technical direction for the team's systems, raise the engineering bar, and mentor other engineers., The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.