Full-Time

Junior Machine Learning Engineer

Posted on 9/10/2025

Tax Relief Advocates

Tax Relief Advocates

Compensation Overview

$85k - $100k/yr

No H1B Sponsorship

Irvine, CA, USA

In Person

onsite preferred

Category
AI & Machine Learning (1)
Required Skills
Scikit-learn
FastAPI
Python
Tensorflow
Pytorch
Machine Learning
LangChain
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.
  • Exposure to APIs (e.g., OpenAI, Azure AI) or NLP/OCR tools (e.g., LangChain, Tesseract) is a plus.
  • 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.
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 data pipelines by collaborating with Data Engineers to create ETL pipelines, feature stores, and data validation workflows, working with tax and CRM teams to define training data.
  • 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.
Desired Qualifications
  • Familiarity with Docker, Airflow, or MLflow.
  • Interest in regulatory or IRS compliance for AI models.
  • Exposure to Azure Synapse, Power BI, or Snowflake.

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Founded

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INACTIVE