Job Description
Karbon is a leader in practice management software for growth-minded accounting firms. Our highly collaborative cloud platform streamlines work and communication, enabling our average accounting firm to save 18.5 hours per week, per employee.
With customers in 34 countries, we have grown into a globally distributed team based throughout the US, Australia, New Zealand, Canada, the UK, and the Philippines.
Responsibilities:
* Designing AI systems - you know how to analyze problems and apply machine learning to solve them
* Machine learning and AI development - you will be expected to develop a wide range of machine learning applications
* Model evaluation and selection - You look beyond basic evaluation metrics and consider wider impacts
* Productionize AI - You own the process past deployment by owning production monitoring
* Data management - Work with data engineers to build and maintain data pipelines
* Collaboration - You can work in a cross-functional team with data engineers, analysts, and full-stack developers
As an expert in intelligent system design, you have:
Required Skills and Qualifications
* 5+ years of experience developing and deploying AI/ML solutions
* Experience in a tech lead role (architectural decision making, completing tech designs, coaching junior engineers)
* Strong proficiency in LLM development and previous experience building autonomous agents (ADK, LangGraph, Agents SDK, etc.)
* Strong proficiency in Python and relevant ML frameworks (Sklearn, Pytorch, Tensorflow, spaCy, etc.)
* Strong understanding of traditional machine learning techniques (linear/logistic regression, randomForest, GBM, etc.)
* Strong understanding of the machine learning development lifecycle, including MLOps, deployment, and monitoring,
* a Bachelor's degree in Computer Science, Artificial Intelligence, Statistics, or equivalent experience is needed (Masters or PhD advantageous)
Benefits
Our company offers a fast-paced environment that allows you to take on greenfield projects within a supported team, backed by executive-level investment.
As a senior AI & ML engineer, you have the opportunity to shape our product and processes.