Machine Learning Engineer

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.

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. This position demands a blend of technical prowess in the field of machine learning and a deep-seated understanding of software development practices where you'll work closely with a cross-functional team that includes tax experts, data scientists, and software developers to ensure our systems are performant and accurate.

• Develop and deploy machine learning models focusing on document intelligence primarily 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, fostering a culture of collaboration and technical excellence.
• Collaborate with cross-functional teams to develop, test, and deploy integrations.
  
  
  

What You'll Need to be Successful

• Demonstrated prowess in machine learning, with a particular focus on document processing applications in real-world scenarios.
• Exceptional analytical and problem-solving abilities with capability to navigate complexities with the data and systems.
• Drive innovation 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 highly valued and encouraged.
• Strong collaboration and communication skills, capable of working effectively with cross-functional teams.
  
  
  

Desirable Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning. A Master’s degree is a plus.
• 5+ years of experience in software development within production environments, along with experience in 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 in a fast-paced work environment.
• Familiarity with algorithms, and data structures.
• Good analytical, design and debugging skills.
  
  
  

Technologies You Will Be Primarily Working With

Python, PyTorch, TensorFlow, Deep Learning models, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

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.

Flexible hybrid working

We support hybrid work and flexible schedules for our employees.

Learn more about our benefits by region here: https://careers.avalara.com/

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.