Lead Machine Learning Engineer (LLM/GenAI)

Job description

What You'll Do 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 Modeling: 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 (, AWS, Azure, GCP).

What You'll Need to be Successful Education: Bachelor'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 6+ years of experience with custom models and ensembles Experience in cloud-based environments (, 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 Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

Success here requires embracing AI as an essential capability.

You’ll bring experience using AI and AI-related technologies, ready to thrive here.

You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We'll Take Care of You 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.

What You Need To Know About Avalara We’re defining the relationship between tax and tech.

We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over million tax returns a year.

Our growth is real - we're a billion dollar business - and we’re not slowing down 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.

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.Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments.

Statistical Modeling: 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 (, AWS, Azure, GCP).

Required Skill Profession

Other General