Avalara-posted 2 months ago
$185,800 - $371,100/Yr
Full-time • Senior
1,001-5,000 employees

We are looking for a experienced Machine Learning Engineer V with a background in software development and a deep enthusiasm for solving complex problems. On this team you will work with a group of partners and contributors dedicated to designing and implementing a large language model (LLM) platform. This is the platform that powers diverse applications across Avalara, including both internal and externally facing applications. Your responsibilities as a Machine Learning Engineer V will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features, with a focus on ensuring high availability and quality of service to all of the platform's customers. You will report to the Director of AI/ML. This is a remote opportunity. #LI-Remote This role is not eligible for visa sponsorship.

  • 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
  • Mentoring junior engineers to encourage a culture of collaboration
  • Maintaining and enhancing, wherever possible, the platform's operational robustness
  • Minimum of 10 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
  • Bachelor's degree with computer science exposure
  • Paid time off
  • Paid parental leave
  • Private medical insurance
  • Life insurance
  • Disability insurance
  • Bonuses based on company performance
  • Support for diversity, equity, and inclusion initiatives
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