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Junior Machine Learning Engineer

Tax Relief Advocates · On-site

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Last seen by MeritLog September 13, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Tax Relief Advocates's Greenhouse job board and last checked it on September 13, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$85,000 – $100,000
Location
Irvine, CA
Occupation
Computer Systems Engineers/Architects(O*NET 15-1299.08)

Hiring context

How this role compares at Tax Relief Advocates

Tax Relief Advocates has 34 live roles in MeritLog’s catalog across 7 job families, and 12 of them are in data & analytics. 8 of those listings publish a pay range, a disclosure rate of 24%.

Tax Relief Advocates concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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.
  • 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.
  • Soft Skills:
  • 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-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.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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! What You’ll Do • 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. What We’re Looking For • 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. • Soft Skills: • 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-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. Why Join Us? • 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. Location: Irvine, CA - onsite preferred Compensation: Up to $85,000 - $100,000 depending on experience Position Type: Full-time, permanent Application Process Qualified applicants will be invited to complete a brief AI-facilitated interview designed to help us learn more about your experience and qualifications. After the AI interview, a member of our recruiting team will personally review your responses and follow up with next steps if you're selected to move forward. This AI tool is used solely to support our recruiters in the initial screening process -- all final hiring decisions are made by our talent acquisition team. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. is an Equal Opportunity Employer. We value diversity and encourage all qualified individuals to apply.

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