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Machine Learning Engineer Intern Jobs in Sacramento, CA

Deloitte

Senior AI Engineer - SFL Scientific

Sacramento, CA · On-site

$111K - $153K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Pwc

AI Solutions Engineering Delivery Lead

Sacramento, CA · On-site

$109K - $144K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Lead Generative AI Data Engineer III

Sacramento, CA · On-site

$109K - $144K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Deloitte

Lead Forward Deployed Engineer - AWS

Sacramento, CA

$109K - $144K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

CTIO AI Engineering Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Senior Forward Deployed Engineer- AWS

Sacramento, CA · On-site

$111K - $153K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Forward Deployed Engineer- AWS

Sacramento, CA · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

NGA AI Engineer Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Sacramento, CA

Machine Learning Engineer Intern information

See Sacramento, CA salary details

$27.2K

$45.4K

$93.8K

How much do machine learning engineer intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning engineer intern in Sacramento, CA is $45,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $49,000.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Sacramento, CA? The most popular types of Machine Learning Engineer jobs in Sacramento, CA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Sacramento, CA? For Machine Learning Engineer Intern jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Sacramento, CA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Sacramento, CA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Sacramento, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,408 per year, or $21.8 per hour.

Exciting opportunity for AI Engineer_ Rancho Cordova, CA-Onsite

Noblesoft Technologies

Rancho Cordova, CA • On-site

Contractor

Re-posted 4 days ago

Job description

Job Title:  AI Engineer

Location: Rancho Cordova, CA

Mode: Contract (6+ Months)

Job Description:

Responsibilities:

  • Develop, fine tune, and evaluate machine learning and LLM based models.
  • Build end to end AI pipelines including data preprocessing, feature engineering, training, and monitoring.
  • Design and optimize prompting strategies, RAG pipelines, or agent based workflows for LLM applications.
  • Implement production ready AI services and APIs using scalable architectures.
  • Collaborate with product managers and engineers to identify AI use cases and translate requirements into technical solutions.
  • Monitor model performance and drift, implementing continual improvements.
  • Conduct research into emerging AI techniques and tools to recommend adoption where appropriate.
  • Ensure responsible AI practices including fairness, safety, privacy, and compliance.

Required Qualifications:

  • Bachelor’s or Master’s in Computer Science, Machine Learning, Engineering, or a related field.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong software engineering skills in Python, plus experience with APIs, cloud services (Azure, AWS, or GCP), and containerization.
  • Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic).
  • Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG).
  • Experience deploying AI models to production environments.
  • Strong understanding of data structures, algorithms, and system design.