At Avalara, we are building the next generation of automated tax compliance products by using modern machine learning techniques.

As part of the AI/ML team, you'll work on real-world, large-scale applications that push the boundaries of machine learning and AI. If the prospect of building impactful systems excites you, we'd love to connect! You will be reporting to Senior Manager AI/ML

What Your Responsibilities Will Be:

• Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments.
• Statistical Modelling: Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages.
• Insights and Optimization: Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance.
• ML and Statistical Techniques: Use techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorithms that enhance product quality, data accuracy, and system performance.
• Code Implementation: Translate algorithms and technical specifications into efficient, production-ready code using modern programming languages like Python
• Debugging: Implement programming practices, perform testing and debugging, and increase system efficiency.
• Documentation: Create comprehensive documentation and maintenance procedures for implemented systems and algorithms.
• Generative AI Applications: Develop and implement generative AI technologies for applications such as content generation, conversational systems, and interactive user experiences.
• Emerge Technologies: Adapt machine learning methodologies to areas like artificial intelligence, image processing, and other modern technologies to promote solutions.
• Cloud-Based Solutions: Deploy scalable solutions in cloud-based environments (e.g., AWS, Azure, and GCP).

What You'll Need to be Successful

Education: Bachelor's or master's degree in computer science or a related field.

Technical Skills:

• Proficiency in machine learning and natural language processing (NLP).
• Experience with software fundamentals, data structures, and algorithms.
• Hands-on experience with CI/CD pipelines, distributed systems, and cloud-based software.
• Expertise in generative AI and building conversational systems.
• Classification systems, sentiment analysis, NLP, and entity extraction
• Computer vision, OCR, and content extraction from images, PDFs, and HTML
• 7+ years of experience with custom models and ensembles
• Experience in cloud-based environments (e.g., AWS, Azure, GCP)
• Expertise in generative AI and building conversational systems

Software Development:

Experience with object-oriented design principles, common design patterns, and best practices.

#LI-Remote

This is a remote role.

Total Rewards

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.

Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

Learn more about our benefits by region here: Avalara North America

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.

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.