Junior Machine Learning Engineer
Irvine, CA
- Pay
$85,000–100,000/year — pay source
401k with a 4% employer match Compensation: $85,000 - $100,000 per year, depending on experience Application Process
Read the full posting- Work setup
On-site stated — work setup source
Location: Newport Beach, CA | On-site ||| Employment Type: Full-time About the Role
Read the full posting- Employment
Full-time — employment source
Location: Newport Beach, CA | On-site ||| Employment Type: Full-time About the Role
Read the full posting
What you’ll work on
Full postingAre you a recent grad or early-career tech enthusiast ready to dive into AI and machine learning?
Support internal departments by transforming legacy workflows through the integration of AI-powered tools.
From the employer’s posting
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!
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.
What you’ll bring
All qualificationsCore experience
- 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).
- Solid understanding of containerization, with experience building custom Docker images.
- Familiarity with security fundamentals like role-based access control or JWT-based authentication.
Preferred experience
- Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus.
Qualification wording
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).
Solid understanding of containerization, with experience building custom Docker images.
Familiarity with security fundamentals like role-based access control or JWT-based authentication.
Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus.
Tools in this posting
- Python
- AWS
- Azure
- Docker
- MLflow
- Fastapi
- pandas
- PyTorch
- Streamlit
- TensorFlow
- Snowflake
- Power BI
- scikit-learn
Source — Tool mentions in context
- 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).
- Exposure to Azure Synapse, Power BI, or Snowflake. - Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus. What We Offer
- 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.
- 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.
- 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.
- 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 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.
Benefits in the posting
Full benefits wording- Comprehensive health, dental, and vision insurance
- Supplemental benefits like: Life Insurance, flexible spending, and many more...
- 401k with a 4% employer match
From the employer’s posting.
Job description
Location: Newport Beach, CA | On-site ||| Employment Type: Full-time
About the Role
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 You Bring
- 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.
What We Offer
- Comprehensive health, dental, and vision insurance
- Supplemental benefits like: Life Insurance, flexible spending, and many more...
- 401k with a 4% employer match
Compensation: $85,000 - $100,000 per year, depending on experience
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
401k with a 4% employer match Compensation: $85,000 - $100,000 per year, depending on experience Application Process
- Location & working pattern
Irvine, CA
Location: Newport Beach, CA | On-site ||| Employment Type: Full-time About the Role
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 30, 2026
- Recorded sightings
- 36
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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