Junior Machine Learning Engineer

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