Junior Machine Learning Engineer

• Assist in designing, building, and fine-tuning machine learning models for document classification, entity extraction, and outcome prediction using tools like scikit-learn, PyTorch, or TensorFlow.
• Support internal departments by transforming legacy workflows through the integration of AI-powered tools.
• Evaluate Performance: Help establish metrics like recall, precision, and accuracy to assess model performance, optimizing to reduce errors in tax form extraction and chatbot responses.
• Deploy & Monitor: Support model deployment using tools like MLflow, FastAPI, or Streamlit, and assist in versioning, logging, and monitoring live systems.
• Learn & Grow: Contribute to a dynamic team, gaining hands-on experience with real-world AI applications in tax automation.

Are you a recent grad or early-career tech enthusiast ready to dive into AI and machine learning? Join our innovative team in Irvine, CA, to build cutting-edge models that automate tax form population, classify documents, predict client outcomes, and power intelligent tools in our tax automation ecosystem. No extensive experience required - just a passion for learning, stellar communication skills, and big ideas for transforming tax processes!, * Education & Experience: Recent graduate (0-2 years of experience, including internships) in AI, NLP, computer science, or related fields.

• Technical Skills: *

• Basic proficiency in Python and familiarity with libraries like scikit-learn, PyTorch, or TensorFlow; familiarity with pandas for document extraction, a PDF extraction library, and/or token estimation libraries is a plus.
• Experience working with LLM APIs and their payload outputs (e.g., OpenAI, Azure AI), along with OCR/document intelligence tools (e.g., Azure Document Intelligence, Google Document AI). Interest in working with structured/unstructured data, especially financial or tax documents., + Exceptional communication skills to bridge technical and non-technical teams.
• Eager to learn, with a proactive approach to problem-solving.
• Strong documentation habits and a team-oriented mindset., + Solid understanding of containerization, with experience building custom Docker images.
• Familiarity with security fundamentals like role-based access control or JWT-based authentication.
• Interest in regulatory or IRS compliance for AI models.
• Exposure to Azure Synapse, Power BI, or Snowflake.
• Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus.

$85,000 - $100,000 a year - Permanent, Full-time