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Machine Learning Developer Intern Jobs in Ontario, CA

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...

Envista

CNC Programmer Intern

Yorba Linda, CA · On-site

$18.25 - $23.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... on learning how to program CNC machines to produce parts in a manufacturing environment. With ... intern will build foundational skills in CAM programming, program editing, and basic machining ...

Envista Holdings Corporation

CNC Programmer Intern

Yorba Linda, CA

$18.25 - $23.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... on learning how to program CNC machines to produce parts in a manufacturing environment. With ... intern will build foundational skills in CAM programming, program editing, and basic machining ...

Viant Technology

Senior Manager, Applied Science

Irvine, CA · On-site

$180K - $220K/yr

  • Medical

  • PTO

Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives. * Own the end-to-end development, deployment ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Medtronic

Engineering Intern - Summer 2027

Santa Ana, CA

$17.50 - $22.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machining, and material handling. * Provide technical and sustaining engineering support within ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

Medtronic

Engineering Intern - Summer 2027

Irvine, CA

$18 - $23.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machining, and material handling. * Provide technical and sustaining engineering support within ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

Medtronic

Engineering Intern - Summer 2027

Irvine, CA

$18 - $23.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machining, and material handling. * Provide technical and sustaining engineering support within ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

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Showing results 41-60

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Ontario, CA

Machine Learning Developer Intern information

See Ontario, CA salary details

$25.9K

$43.3K

$89.5K

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

As of Aug 15, 2026, the average yearly pay for machine learning developer intern in Ontario, CA is $43,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Ontario, CA are hiring for Machine Learning Developer Intern jobs?

Cities near Ontario, CA with the most Machine Learning Developer Intern job openings:

Machine Learning Developer Intern jobs near you

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior engineers.
Responsibilities:
• Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
• Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
• Build and operate data systems for large-scale video ingestion, indexing, and storage.
• Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
• Ensure reliability and observability with monitoring, logging, and alerting.
• Collaborate with AI/ML Engineers to productionize workflows.
• Optimize infrastructure for performance and cost across cloud and edge.
• Enforce best practices in security, compliance, and maintainability.
• Mentor and manage junior engineers, providing technical guidance and career development.
Qualifications:
Required:
• Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).
• 4+ years of industry experience in ML infrastructure or platform engineering.
• Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
• Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
• Hands-on experience building ML pipelines for distributed training and large-scale inference.
• Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
• Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
• Experience with system monitoring and observability in production.
Preferred:
• Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
• Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
• Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
• Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
• Strong knowledge of security and compliance in ML and cloud environments.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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