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Tax Relief Advocates

Junior Machine Learning Engineer

Tax Relief Advocates
Irvine, CA $85k - $100k/yr Full time Posted 1d ago
Artificial Intelligence Data Analysis Deep Learning Document Intelligence Machine Learning Machine Learning Engineer Ml Ops NLP Openai PyTorch
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Job Description

Junior Machine Learning Engineer in Irvine, CA, focused on designing, building, and refining ML models for document classification, entity extraction, and outcome prediction to support tax automation.

Responsibilities

  • Assist in designing, building, and fine‑tuning ML 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 by establishing metrics such as recall, precision, and accuracy to assess model effectiveness and reduce errors in tax form extraction and chatbot responses.
  • Deploy and monitor models with tools like MLflow, FastAPI, or Streamlit, including versioning, logging, and ongoing system monitoring.
  • Learn and grow within a dynamic team, gaining hands‑on experience with real world AI applications in tax automation.

Requirements

  • Recent graduate (0–2 years of experience, including internships) in AI, NLP, computer science, or related fields.
  • Basic proficiency in Python.
  • Familiarity with libraries like scikit‑learn, PyTorch, or TensorFlow.
  • Familiarity with pandas for document extraction.
  • Familiarity with a PDF extraction library.
  • Familiarity with 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.

Technologies

  • Python
  • scikit‑learn
  • PyTorch
  • TensorFlow
  • pandas
  • PDF extraction library
  • token estimation libraries
  • OpenAI
  • Azure AI
  • Azure Document Intelligence
  • Google Document AI
  • MLflow
  • FastAPI
  • Streamlit
  • Docker
  • AI Foundry
  • Document Intelligence
  • Azure Synapse
  • Power BI
  • Snowflake
  • AWS Lambda
  • Azure Functions

Benefits

  • Work on transformative AI projects that revolutionize tax automation.
  • Gain hands‑on experience with the Azure stack, including AI Foundry and Document Intelligence, alongside Python.
  • Join a collaborative team in Irvine, CA, with mentorship to kickstart your ML career.
  • Compensation: Up to $85,000 - $100,000 depending on experience.

Nice to Have

  • 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.

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