What You'll Do Join our dynamic team as an Engineer specializing in AI & Machine Learning, where you'll contribute to pioneering projects in computer vision and natural language processing under the document intelligence space. You will report to Senior Manager AL ML. This role is crucial for automating workflows and enhancing the efficiency of partner teams at Avalara. Your responsibilities will encompass the full lifecycle of machine learning model development—from conceptualization and data pre-processing to model training, evaluation, and deployment. You have a blend of technical experience in the field of machine learning and a deep-seated understanding of software development practices where you'll work with a team that includes tax experts, data scientists, and software developers to ensure our systems are performant and accurate. Develop machine learning models focusing on document intelligence revolving around document entity extraction, document classification and object detection. Conduct in-depth analysis, feature engineering and optimization to improve model performance. Make informed data-driven decisions by interpreting test results and performance metrics to help steer experimental efforts Follow best practices and established standards for the development and deployment of REST APIs, ensuring seamless integration and functionality. Build on top of the foundational MLOps framework to manage model serving, dataset versioning, and lifecycle processes. Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical excellence. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration and technical excellence. Collaborate with teams to develop, test, and deploy integrations. Demonstrated skills in machine learning, with a focus on document processing applications in real-world scenarios. Capability to navigate complexities with the data and systems. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's degree in Computer Science, Artificial Intelligence, or Machine Learning. A Master's degree is desirable. 8+ years of experience in software development within production environments, along with experience building Machine Learning models. Proficiency working in cloud computing environments, machine learning frameworks, and software development best practices. Demonstrated ability to keep up with technological advancements and apply them. Familiarity with algorithms, and data structures. Analytical, design and debugging skills. About the Team We are the AI & ML enablement group in Avalara: We empower Avalara's Product and Engineering teams with cutting-edge AI & ML capabilities, driving easy-to-use, automated compliance solutions that position Avalara as the industry AI technology leader and the go-to choice for all compliance needs. This job is a remote friendly. #LI-Remote About Avalara We’re Avalara. We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year. Last year, we became a billion-dollar business, and our tribe expanded by a cool thousand people - there’s nearly 5,000 of us now. Our growth is real, and we’re not slowing down - not until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them. We’ve been different from day one. Join us, and your career will be too. EEO Statement We’re an Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.