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Edge Ai Machine Learning Jobs in California (NOW HIRING)

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Cisco

Machine Learning Engineer

San Jose, CA · On-site

You will collaborate with passionate experts to build scalable, responsible, and cutting-edge AI ... Analyze data, develop, validate, and deploy machine learning models that drive measurable ...

Cisco

Machine Learning Engineer

San Jose, CA

You will collaborate with passionate experts to build scalable, responsible, and cutting-edge AI ... Analyze data, develop, validate, and deploy machine learning models that drive measurable ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ...

Apple

AIML Engineer - Human Perception

Sunnyvale, CA · On-site

Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health ...

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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.
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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 5% Internship, 79% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Architecture & Algorithms / Agentic AI ML Engineer (Level 2 - 3)

Lockheed Martin

Sunnyvale, CA • On-site

$114K - $157K/yr

Other

Posted 22 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 391 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

Lockheed Martin Space will be hosting an invitation-only hiring event in very early September in Sunnyvale, CA. This requisition is to capture Level 2 through Level 3 Architecture & Algorithms / Agentic AI Machine Learning Engineer candidates to invite to the hiring event. We will be reviewing all Architecture & Algorithms / Agentic AI Machine Learning Engineer applicant resumes, contacting those that meet all of the Basic Qualifications and Desired Skills and may be a fit for one of our open roles, and interviewing candidates for the appropriate level opportunities. If invited to the event, you will be provided with the details regarding date, time, and location of the invitation-only hiring event.
We will be interviewing candidates at Level 2 through Level 3 for roles at the Space AI Talent Center. Candidates will be joining a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security. Your expertise will grow and your experience will be put to the test! The positions are on-site 100% of the time.
Candidates with Agentic AI expertise will be afforded priority consideration!
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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