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Entry Level Software Engineer Machine Learning Jobs in California

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

Working at the intersection of data science and software engineering, you translate R&D and project ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Machine Learning Engineer II

Palo Alto, CA · On-site

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Minimum Qualifications Software engineering skills and proficiency in Python Experience with ...

Strong background in algorithms, data structures, and software engineering principles. * Experience ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...

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Entry Level Software Engineer Machine Learning information

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Software Engineer Intern - Machine Learning Workflow

Software Engineer Intern - Machine Learning Workflow

Halo Industries, Inc.

Santa Clara, CA • On-site

Temporary

Re-posted 13 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.