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Volunteer Junior Machine Learning Engineer Jobs in California

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Machine Learning Engineer

Los Angeles, CA · On-site

$150 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor degree with 4+ years experience as a machine learning engineer* AND 2+ years of Python and PyTorch or TensorFlow experience* Must be a U.S. citizen with the ability to obtain necessary ...

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

$160 - $190/hr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

Machine Learning Engineer

San Francisco, CA · On-site

  • Medical

  • Retirement

  • PTO

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Machine Learning Engineer

Los Angeles, CA

$150K - $180K/yr

  • Medical

  • Dental

  • Retirement

Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...

Machine Learning Engineer

San Francisco, CA · On-site +1

  • Medical

  • Retirement

  • PTO

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...

Showing results 41-60

Volunteer Junior Machine Learning Engineer information

What is the difference between Volunteer Junior Machine Learning Engineer vs Volunteer Data Analyst?

AspectVolunteer Junior Machine Learning EngineerVolunteer Data Analyst
Required CredentialsBasic programming, introductory ML knowledge, possibly some courseworkData analysis skills, Excel, SQL, basic statistics
Work EnvironmentTech-focused projects, coding, model developmentData interpretation, reporting, visualization
Employer & Industry UsageTech companies, research projects, startupsNonprofits, research institutions, business analytics

The Volunteer Junior Machine Learning Engineer and Volunteer Data Analyst roles both involve working with data, but the ML engineer focuses on developing machine learning models and algorithms, requiring some programming and ML knowledge. The Data Analyst primarily interprets data through visualization and reporting, often using tools like Excel and SQL. Both roles are valuable in various industries, but the ML engineer role emphasizes technical model development, while the Data Analyst role centers on data interpretation and communication.

What are the key skills and qualifications needed to thrive as a volunteer junior machine learning engineer, and why are they important?

To thrive as a Volunteer Junior Machine Learning Engineer, you need a foundational understanding of programming (especially Python), mathematics, and basic machine learning concepts, often supported by coursework or online certifications. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems like Git is usually expected. Curiosity, teamwork, and strong problem-solving skills help you learn quickly and contribute effectively in a collaborative environment. These skills and qualities ensure you can support real projects, continue developing your expertise, and add value even at an entry or volunteer level.

What is a volunteer junior machine learning engineer?

Volunteer Junior Machine Learning Engineers are individuals who offer their time and skills, often without pay, to assist in machine learning projects. They typically have foundational knowledge in programming, data analysis, and machine learning concepts, and they work under the guidance of experienced engineers or data scientists. Their responsibilities may include data preprocessing, building and testing models, and supporting research or development efforts. These roles provide valuable hands-on experience and are often sought after by students or career changers looking to break into the field.

What types of projects and tasks can a volunteer junior machine learning engineer expect to work on, and how do these contribute to skill development?

As a Volunteer Junior Machine Learning Engineer, you will typically assist with data preparation, exploratory data analysis, and building or improving basic machine learning models under the supervision of more experienced engineers. You may also help with tasks such as cleaning datasets, implementing algorithms, and evaluating model performance. These projects are designed to provide hands-on experience and mentorship, helping you develop technical skills while learning collaborative workflows in a team setting. This role is a great opportunity to build your portfolio, gain real-world experience, and network within the machine learning community.

What job categories do people searching Volunteer Junior Machine Learning Engineer jobs in California look for?

The top searched job categories for Volunteer Junior Machine Learning Engineer jobs in California are:

What cities in California are hiring for Volunteer Junior Machine Learning Engineer jobs?

Cities in California with the most Volunteer Junior Machine Learning Engineer job openings:

Infographic showing various Volunteer Junior Machine Learning Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer

Skild AI

San Mateo, CA

Full-time

Re-posted 5 days ago


Job description

Position Overview

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.