What You'll Do
We need an experienced Machine Learning Engineer V with a background in enterprise software development to help drive the next stage of Avalara's agentic transformation.
On this team you will work with an experienced group dedicated to designing and implementing an agentic platform at massive scale. Your contributions will enable generative AI projects across Avalara, and have a direct impact on one of the most important projects in the company's history: the Avalara Avi Agent (AAA). The AAA is revolutionizing tax compliance for the industry by providing an agentic gateway that automate work at unprecedented rates - in concert with the enterprise partners where our customers work.
Your responsibilities as a Machine Learning Engineer V will span the entire development lifecycle, from conceptualization and prototyping to feature delivery and operationalization. You will report to the Director of AI/ML.
This is a fully US based remote opportunity
This role is not eligible for visa sponsorship.
What Your Responsibilities Will Be
You are a software developer with a blend of technical skills in the fields of Agentic and Generative AI, including deep familiarity with MCP and A2A protocols. You work well with others and know how to ensure systems are scalable, performant, reliable, accurate, and available.
We are looking for people who think quickly, love to learn, and specialize in implementation. Your responsibilities will include:
What You'll Need to be Successful
Pay Range Details
The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.
Colorado $185,800-$306,600 (annually)
Washington $185,800-$338,800 (annually)
California $185,800-$371,100 (annually)
NYC $205,400-$371,100 (annually)
The pay range above is the general base pay range for you in the state listed. Your actual salary/wage may be based on several factors, such as geographic location, candidate experience and qualifications, market and business considerations. This role is eligible for an annual bonus based on company performance, depending on the terms of the applicable plan and your role.
#LI-Remote
This is a remote position.
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