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Embedded Machine Learning Internship Jobs in Irvine, CA

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ... Algorithm development experience using machine learning techniques such as regression ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ... Algorithm development experience using machine learning techniques such as regression ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

Deloitte

Cyber - SecOps - Consultant

Costa Mesa, CA · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Irvine, CA

Embedded Machine Learning Internship information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

How much do embedded machine learning internship jobs pay per year?

As of Aug 14, 2026, the average yearly pay for embedded machine learning internship in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What are popular job titles related to Embedded Machine Learning Internship jobs in Irvine, CA?

For Embedded Machine Learning Internship jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Internship jobs in Irvine, CA look for?

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Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Irvine, CA as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $45,709 per year, or $22 per hour.

Machine Learning Engineer

Mach Industries

Huntington Beach, CA • On-site

$120K - $160K/yr

Full-time

Medical, Life, Retirement

Posted 17 days ago

Job description

About Mach Industries
Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition.
Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.
The Role
Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Machine Learning Engineer, you will own and scale the training, data, and edge-inference backbone that every vision and multi-sensor model on our product lines depends on for detection, tracking, search, navigation, targeting, and automatic target recognition. This is a broad, high-ownership role: you'll stand up the data and training infrastructure that lets the autonomy team iterate fast, generate synthetic data to cover the long tail, and get research-grade models running in real time on embedded hardware in flight. We are generalists, so you'll move fluidly between infrastructure, modeling, and deployment.
Key Responsibilities
  • Own and evolve the training and data infrastructure the autonomy team builds on: ingestion from flight/sim/HITL, curation and mining, labeling/QA workflows, dataset versioning (DVC/Parquet), and reproducible dataset builds.
  • Stand up and scale training/eval infrastructure: distributed multi-GPU training, experiment tracking, a model registry, and CI-based evaluation with regression gates plus automated field-data to retrain to validate to redeploy loops.
  • Deploy and optimize models for real-time edge inference on Jetson-class hardware (quantization/pruning, TensorRT/ONNX Runtime); profile CPU/GPU and hit tight latency, throughput, and SWaP targets.
  • Build and improve models across the portfolio as a hands-on IC: detection, segmentation, tracking, target/area search, classification/ATR, and multi-sensor fusion for EO/IR and auxiliary sensing.
  • Generate and manage synthetic data at scale (simulation + domain randomization) to cover long-tail and degraded conditions and close sim-to-real gaps.
  • Instrument runtime health, drift detection, and graceful degradation, and wire model-performance metrics back into the data and retraining loop.
  • Live close to flight data with visualization, triage, and root-cause tooling so the team can go from field logs to insight and model updates rapidly.
  • Partner with other autonomy disciplines across perception, localization, embedded, and flight-test to take capabilities from prototype to sim to HITL to flight to deployment.

Required Qualifications
  • Strong generalist software engineering: Python for ML and tooling, plus production C++ on Linux; profiling, optimization, and rigorous testing discipline.
  • Proven experience building ML data and training pipelines end to end: dataset construction, labeling/QA, augmentation, experiment tracking, and reproducible training.
  • Hands-on training and fine-tuning in PyTorch across modern detection/segmentation/tracking architectures (CNN/Transformer).
  • Edge and real-time deployment: model compression (INT8/FP16), runtime optimization (TensorRT/ONNX Runtime), and meeting latency/SWaP constraints on embedded GPU (Jetson-class) hardware.
  • Data and MLOps infrastructure: SQL/Parquet, dataset/versioning tools, CI-based validation, and scalable multi-GPU training.
  • BS/MS/PhD in CS/EE/Robotics or similar, or equivalent experience, with a track record shipping ML models to production or hardware. Senior candidates: deeper ownership of training/data infrastructure at scale.

Preferred Qualifications
  • Synthetic data generation and simulation (e.g. Unreal/Isaac, domain randomization) and demonstrated sim-to-real transfer.
  • EO/IR imagery experience and working with real flight/test data in challenging, degraded, or contested environments.
  • Multi-modal perception and fusion (EO/IR + radar/LiDAR/RF) at the feature or decision level.
  • Detection/tracking/search at scale; active learning and data-mining strategies for long-tail coverage.
  • CUDA backends for performance debugging; ROS 2; NVIDIA Jetson deployment pipelines.
  • Drift/dataset-shift monitoring, robustness and rare-event testing, long-horizon reliability metrics.
  • Distributed training frameworks and cloud ML platforms (e.g. SageMaker); Docker for reproducibility; Rust for systems tooling.

Disclosures
This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach's total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development.
Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you'd like to defend the American way of life, please reach out!

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