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Edge Ai Machine Learning Jobs in California (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

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 ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

Masimo Corporation

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

New

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

Gyrus AI

AI / Machine Learning Engineer

Santa Clara, CA · On-site

$80 - $120/hr

Develop machine learning applications according to requirements * Select appropriate datasets and data representation methods * Train ML/AI algorithms and test them for accuracy, precision and recall.

Masimo Corporation

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo Corporation

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

$175 - $200/hr

  • Medical

  • Life

  • Retirement

  • PTO

Veritone's leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.

What are the most commonly searched types of Edge Ai Machine Learning jobs in California?

The most popular types of Edge Ai Machine Learning jobs in California are:

What are popular job titles related to Edge Ai Machine Learning jobs in California?

For Edge Ai Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in California look for?

The top searched job categories for Edge Ai Machine Learning jobs in California are:

What cities in California are hiring for Edge Ai Machine Learning jobs?

Cities in California with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in California as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution.

AI/Machine Learning Engineer

BeeGenius

Sunnyvale, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
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 learning models and algorithms to solve complex business problems.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.

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