Avalara is looking to design and implement a large language model (LLM) platform to power diverse applications, both internal and external. The Machine Learning Engineer IV will be responsible for the entire development lifecycle of this platform, ensuring high availability and quality of service.
Requirements
- Minimum of 7 years work experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.
- Knowledge of and experience with LLMs - like GPT, Claude, LLama and other Bedrock models
- Proficiency in developing and debugging software with a preference for Python (familiarity with additional programming languages is valued and encouraged)
- Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.
- Ongoing exposure to technological innovations in AI & ML (esp. GenAI).
- Expertise in design patterns, data structures, distributed systems, and experience with cloud technologies.
- Deep experience with and interest in supporting and maintaining mature high availability systems at scale
Responsibilities
- Building on top of the foundational framework for supporting LLM Applications at Avalara
- Leveraging best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.
- Inspiring creativity by researching and applying the latest technologies and methodologies in machine learning and software development.
- Writing, reviewing, and maintaining high-quality code to industry standards, contributing to the project's.
- Leading code review sessions to ensure good code quality
- Documenting solutions in order to maintain a knowledge base and enable Avalara software agents
- Maintaining and enhancing, wherever possible, the platform's operational robustness
Other
- This is a remote opportunity.
- This role is not eligible for visa sponsorship.
- Mentoring junior engineers to encourage a culture of collaboration
- Bachelor's degree with computer science exposure
- 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.
