Machine Learning Engineer

What Youll Do
Join our dynamic team as a Engineer specializing in AI & Machine Learning, where youll 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. Youll be instrumental in building, deploying, and maintaining ML models that drive our automated solutions forward, ensuring they operate at peak performance.

• Develop and deploy machine learning models focusing on document intelligence primarily revolving around document entity extraction, document classification and object detection.
• Use foundational data science knowledge to support analytics, help steer experimental efforts, and take data-driven decisions for conducting experiments.
• Adhere to best practices for building and deploying REST APIs.
• 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 and maintain code and documentation that adheres to high industry standards.
• Collaborate with cross-functional teams to develop, test, and deploy integrations.
  

What Youll Need to be Successful

• A passion for machine learning and staying abreast of technological innovations in the field of AI & ML.

• Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is highly valued and encouraged.
• Good problem-solving skills with the ability to analyse issues, identify and apply effective solutions.
• Effective communication skills, both verbal and written, are essential for collaborating with partner teams and contributing to a cohesive work environment.
• A high level of curiosity and willingness to learn.
  

Desirable Qualifications

• A degree in Computer Science or equivalent practical experience of 1-2 years in software development in production environment.
• Proven software development skills along with fundamental knowledge relevant to machine learning.
• Well versed with algorithms, and data structures.
• Good analytical, design and debugging skills.
• Demonstrated ability to keep up with technological advancements and applying them in a fast-paced work environment.
  

Technologies You Will Be Primarily Working With
Python, PyTorch, TensorFlow, NLP and Computer Vision models, ClearML, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres , Prometheus, Grafana.
About The Team
We are the AI & ML enablement group in Avalara.
We empower Avalaras 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.
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.