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No Experience Machine Learning Jobs in Riverside, CA

FieldAI

3D Machine Learning Engineer

Irvine, CA

Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning. * Strong expertise in Python and deep learning frameworks:

FieldAI

3D Machine Learning Engineer

Irvine, CA

Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning. * Strong expertise in Python and deep learning frameworks:

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning. * Strong expertise in Python and deep learning frameworks:

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Strong experience in Python * Hands-on experience in prototyping and maturing ML algorithms

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D ... Preferred : • Experience working with BIM data, digital twins, or construction-related sensor ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

Experience in artificial intelligence, machine learning and/or deep learning within the medical device industry * Experience with machine learning libraries and modern frameworks such as Tensorflow ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

Experience in artificial intelligence, machine learning and/or deep learning within the medical device industry * Experience with machine learning libraries and modern frameworks such as Tensorflow ...

MCP Services

Be Seen First

Production Associate - No Experience Needed

Corona, CA · On-site

$19 - $20/hr

First Job? We're Hiring Production Associates - No Experience Needed! Direct hire opportunity ... Keep machines running smoothly with regular checks and maintenance. * Stay on task, work with your ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques. Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate ...

LIFEBLOOM Corp.

Blister Machine Operator

Brea, CA · On-site

$20 - $25/hr

Basic As a Blister and Carton Machine Operator, you will be responsible for packaging dietary ... No experience is required; training will be provided. Certification Requirements: * No ...

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How much do no experience machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for no experience machine learning in Riverside, CA is $23.81, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $26.59 per hour, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as skilled trades (electrician, plumber), sales positions (real estate agent, insurance broker), or certain tech roles like freelance web developer or digital marketer. Success in these fields typically depends on experience, skills, certifications, or performance rather than formal education.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

How to make $10,000 a month with no degree?

To earn $10,000 a month with no degree, focus on developing in-demand skills such as machine learning, coding, or digital marketing through online courses and self-study. Freelancing, starting a business, or working in high-paying sales or tech roles can also help achieve this income level without formal education.

How to get into machine learning with no experience?

To enter machine learning with no experience, start by learning programming languages like Python and understanding basic statistics. Gain foundational knowledge through online courses, tutorials, and practicing with datasets using tools like scikit-learn or TensorFlow. Building projects and earning certifications can also help demonstrate your skills to employers.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, which often require extensive experience, advanced skills in programming, data analysis, and deep learning, as well as leadership responsibilities. These positions are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.
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No Experience Machine Learning jobs near you

3D Machine Learning Engineer

FieldAI

Irvine, CA

Full-time

Posted 19 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. 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 today and get better every time our robots run in the field.
What You’ll Do
  • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
  • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
  • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
  • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
  • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.
What You Have
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
  • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
  • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
  • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
  • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
  • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
  • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.
The Extras That Set You Apart
  • Experience working with BIM data, digital twins, or construction-related sensor data.
  • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
  • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
  • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
  • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
  • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
  • Experience building custom modules for SparseConvNet or 3D transformers.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.