Junior Machine Learning Engineer

Tax Relief AdvocatesIrvine, CA
$85,000 - $100,000Onsite

About The Position

This role is for a recent graduate or early-career tech enthusiast looking to enter the fields of AI and machine learning. The successful candidate will join an innovative team in Irvine, CA, and contribute to building cutting-edge models for tasks such as automating tax form population, classifying documents, predicting client outcomes, and powering intelligent tools within the company's tax automation ecosystem. The position emphasizes a passion for learning, strong communication skills, and innovative ideas for tax process transformation, rather than extensive prior experience.

Requirements

  • Recent graduate (0–2 years of experience, including internships) in AI, NLP, computer science, or related fields.
  • 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.
  • Experience working with LLM APIs and their payload outputs (e.g., OpenAI, Azure AI).
  • Experience 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • Help establish metrics like recall, precision, and accuracy to assess model performance, optimizing to reduce errors in tax form extraction and chatbot responses.
  • Support model deployment using tools like MLflow, FastAPI, or Streamlit, and assist in versioning, logging, and monitoring live systems.
  • Contribute to a dynamic team, gaining hands-on experience with real-world AI applications in tax automation.

Benefits

  • Work on transformative AI projects that revolutionize tax automation.
  • Gain hands-on experience with the Azure stack, including tools like AI Foundry and Document Intelligence, alongside Python.
  • Join a collaborative team in Irvine, CA, with mentorship to kickstart your ML career.
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