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Graduate Machine Learning Jobs in California (NOW HIRING)

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... Graduate degree (M.S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational ...

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181K - $318K/yr

Preferred Qualifications PhD or Graduate degree with research/work experience using data science ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181K - $318K/yr

Preferred Qualifications PhD or Graduate degree with research/work experience using data science ... Experience building data processing pipelines and large scale machine learning systems with ...

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How much do graduate machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for graduate machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Graduate Machine Learning position, and why are they important?

To thrive as a Graduate Machine Learning professional, you need a solid understanding of statistics, data analysis, machine learning algorithms, and programming languages such as Python or R, typically supported by a relevant degree. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), data visualization tools, and version control systems like Git is common. Strong problem-solving abilities, communication skills, and a collaborative mindset will help you stand out in team-based environments. These competencies are vital for effectively building, analyzing, and refining models to address real-world business challenges.

What is a Graduate Machine Learning job?

A Graduate Machine Learning job is an entry-level role designed for recent graduates with a background in machine learning, data science, or a related field. It typically involves working on data-driven projects, developing machine learning models, and assisting in research or engineering tasks. Graduates may collaborate with data scientists, software engineers, and business teams to design algorithms, optimize models, and deploy AI solutions. This role helps build practical experience in applying ML techniques to real-world problems while contributing to the organization's AI initiatives.

What does the typical career progression look like for a Graduate Machine Learning professional?

As a Graduate Machine Learning professional, you will usually begin your career by working on smaller projects or supporting senior scientists with data preparation, model training, and performance evaluations. Over time, as you gain experience and demonstrate technical proficiency, you’ll be given more complex, independent projects and may specialize in areas like natural language processing, computer vision, or deep learning. Many organizations provide opportunities for mentorship, professional development, and advanced certifications, paving the way for roles such as Machine Learning Engineer, Data Scientist, or Research Scientist. This path offers significant opportunities for growth, both in terms of technical expertise and leadership potential.

What are popular job titles related to Graduate Machine Learning jobs in California? For Graduate Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Graduate Machine Learning jobs in California look for? The top searched job categories for Graduate Machine Learning jobs in California are:
Graduate Machine Learning jobs near you

Software Engineer Intern - Machine Learning Workflow

Halo Industries, Inc.

Santa Clara, CA • On-site

Temporary

Posted 22 days ago

Job description

The Company


Halo Industries has invented a revolutionary technology to replace a decades-old semiconductor material slicing process. Our laser-based technology eliminates waste, improves material cost and performance, and drives advancements in high-growth markets like automotive, telecommunications, and power electronics. Founded in 2014 at Stanford University, Halo secured significant funding in 2024 and is poised for rapid growth, engaging strategic customers and preparing for volume manufacturing.

The Opportunity

We are looking for a Machine Learning Operations Intern to support data preparation, labeling, training workflows, and validation processes for machine learning systems. The role focuses on executing and monitoring existing ML pipelines, organizing datasets, and helping evaluate model performance.

The intern will work with internal tools and workflows using Python and C#, with guidance from experienced engineers. This position is ideal for someone interested in practical machine learning systems and hands-on experience with real-world data workflows.

Responsibilities
  • Label and organize datasets for machine learning workflows.
  • Run and monitor training and validation pipelines.
  • Assist with evaluating model outputs and identifying data quality issues.
  • Use Python and C# tools to support ML-related workflows and automation.
  • Help troubleshoot pipeline failures and data inconsistencies.
  • Document datasets, experiments, and validation results.
  • Collaborate with engineers to improve workflow efficiency and reliability.
What This Role Offers
  • Hands-on experience with real-world machine learning workflows.
  • Exposure to production ML training and validation systems.
  • Experience working with Python and C# in applied engineering environments.

Requirements

Basic Qualifications
  • Currently pursuing or a recent graduate with a Bachelor`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Basic programming experience in Python or C#.
  • Experience working with structured workflows and large datasets.
  • Proficiency to debug simple technical issues and follow documented processes.
Preferred Qualifications
  • Currently pursuing or a recent graduate with a Master`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Exposure to machine learning concepts or workflows.
  • Familiarity with Git or collaborative development tools.
  • Experience working with datasets, annotation tools, or automation scripts.

Benefits

Salary Range : 20 - 30 USD per hour.

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