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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Axon Enterprise, Inc. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $150,750.0 - $241,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Cloud Computing, Cloud Engineering, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Software Architecture, Tensorflow, Software Deployment, Software Engineering, Systems Architecture, Pytorch, Model Validation, Generative AI, Information Technology, Webforms, Machine Learning Operations, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-machine-learning-engineer-axon-2-9034291 ## About the Role * Bachelor's degree in Computer Science, Engineering, Electronics, Mathematics, or another highly technical field. * 6+ years of software engineering experience, including a proven track record of deploying AI/ML models to production in the cloud. * Strong experience with cloud architecture and infrastructure as code. * Proficiency in Python and C++, with experience using ML frameworks such as PyTorch or TensorFlow. * Advanced, hands-on knowledge of Linux environments and systems. * Strong problem-solving skills and the curiosity to dive deep into complex system architectures. * Excellent software architecture and design skills, with a focus on building robust, scalable, maintainable systems. * Ability to communicate effectively and collaborate across disciplines with scientists, engineers, and product managers., * Master's degree or PhD in Computer Science, Engineering, Electronics, Mathematics, or another highly technical field. * Experience with LLMOps, including model evaluation, monitoring, quantization, distillation/teacher-student approaches, and production deployment. * Hands-on experience fine-tuning and optimizing large-scale models. * Familiarity with model encryption, privacy-preserving machine learning, and secure AI techniques. ## Description Reports to: Manager, Machine Learning Engineering * Turn emerging AI research into real products. Partner with scientists, engineers, and product managers to rapidly prototype new ideas, build proof-of-concepts, and help determine which technologies can become the next generation of Axon AI experiences. * Build AI systems that operate at real-world scale. Architect and develop the infrastructure needed to train, evaluate, deploy, monitor, and continuously improve models running across Axon's cloud and device ecosystem. * Work across the modern AI stack. Tackle engineering challenges spanning model training and fine-tuning, large-scale evaluation, inference optimization, data pipelines, cloud infrastructure, and production ML systems. * Help build the platform behind Axon AI. Design reusable platforms, infrastructure, and developer tooling that make it faster and easier for scientists and engineers to experiment, evaluate ideas, and move models from research into production. * Advance how we build with generative AI. Explore techniques for evaluating, fine-tuning, optimizing, and operating large models, including approaches such as model distillation, quantization, and scalable evaluation. * Solve challenging edge-and-cloud ML problems. Help bridge the gap between powerful cloud-based AI and models running in resource-constrained environments, balancing model quality, latency, reliability, privacy, and cost. * Build secure and privacy-preserving AI systems. Architect solutions that enable models to continuously improve while maintaining rigorous standards for security, privacy, and responsible use of data. * Collaborate closely with ML scientists. Translate state-of-the-art research into robust engineering systems and help develop new training, evaluation, and deployment techniques that can be applied across multiple Axon products. * Own meaningful technical problems end to end. Go beyond implementing individual features-you'll have opportunities to influence architecture, make key technical decisions, and see your work progress from an early experiment to technology used in real products. * Raise the engineering bar. Help establish best practices for ML engineering, architecture, testing, observability, reproducibility, and responsible AI as Axon's AI organization continues to scale. Grow Your Career at Axon * Expand your AI breadth. Work across computer vision, speech, NLP, generative AI, edge ML, and cloud ML infrastructure rather than being limited to a single model or domain. * Deepen your technical expertise. Take on difficult systems problems at the intersection of machine learning, distributed systems, cloud infrastructure, and production software engineering. * Grow your ownership and influence. Progress from owning individual systems to shaping architectures, technical roadmaps, and engineering practices used across teams and products. * Learn across disciplines. Work closely with ML scientists, product teams, and experienced engineers, gaining exposure to both advanced research and the realities of shipping AI at scale. * Build technical leadership. As you grow, you'll have opportunities to mentor engineers, lead technical initiatives, influence cross-team decisions, and help define how AI is built at Axon., 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. ## Related Videos - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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