ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Cypress, TX

Deloitte

Cyber - SecOps - Consultant

Houston, TX

... 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 ...

ConocoPhillips

Intern, Commercial 2027

Houston, TX · On-site

The internship offers a Commercial orientation, an exciting project assignment, and multiple opportunities to work with our Commercial management team. The internship will culminate with a ...

Chevron

2026-2027 Earth Science Intern

Houston, TX · On-site +1

$10K/mo

Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ... Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ...

Citadel

Software Engineer - Intern (US)

Houston, TX

$112.50 - $145/hr

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ...

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ...

Tcenergy

AI Security Architect

Houston, TX · Hybrid

$62 - $80.25/hr

... and Machine Learning (ML) solutions across the enterprise. The AI Security Architect provides ... Ensure security-by-design principles are embedded throughout the AI development lifecycle

previous pagenext page

Showing results 21-40

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Cypress, TX

Embedded Machine Learning Internship information

See Cypress, TX salary details

$22K

$36.7K

$75.8K

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

As of Aug 7, 2026, the average yearly pay for embedded machine learning internship in Cypress, TX is $36,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,000.00 and $39,600.00 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 job categories do people searching Embedded Machine Learning Internship jobs in Cypress, TX look for? The top searched job categories for Embedded Machine Learning Internship jobs in Cypress, TX are:
What cities near Cypress, TX are hiring for Embedded Machine Learning Internship jobs? Cities near Cypress, TX with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Cypress, TX as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $36,680 per year, or $17.6 per hour.

Engineer -AI/ML -Time Series & Robotics

Microvast

Houston, TX • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Microvast is a technology innovator that designs and manufactures lithium-ion battery solutions. The AI / ML Engineer will develop and deploy machine learning algorithms to analyze multi-sensor time-series data from vehicles and robotic platforms, focusing on building robust models to enhance system performance and intelligent behavior.
Responsibilities:
• Design and implement ML models for time-series sensor data (e.g., currents, torques, IMUs, joint states, vehicle signals, cameras, GPS).
• Build and maintain data pipelines for collection, preprocessing, feature extraction, and labeling.
• Prototype algorithms in Python (e.g., PyTorch, TensorFlow) and collaborate with embedded engineers to create deployable, resource-efficient models.
• Create production level models using C++ to improve efficiency in runtime and resource use from the Python prototype
• Evaluate model performance using appropriate metrics; iterate to improve robustness and generalization across platforms and use cases.
• Work with robotics and vehicle engineers to understand requirements and convert them into concrete ML problems and model specifications.
• Support data visualization, dashboards, and tools for internal users to interpret model outputs and system behavior.
• Document models, experiments, datasets, and results to ensure reproducibility and traceability.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
• Experience with embedded / edge AI or model compression and optimization techniques.
• Hands-on experience with machine learning for time-series or sensor data.
• Strong proficiency in C++ and ML frameworks.
• Experience working with real-world noisy data (e.g., automotive, robotics, industrial, IoT).
• Familiarity with data science tools and workflows (NumPy, Pandas, Jupyter, etc.).
• Ability to work in a cross-functional team and communicate technical concepts clearly.
Preferred:
• Familiarity with control systems, robotics, or vehicle dynamics.
• Experience with MLOps tools (experiment tracking, model versioning, CI/CD for ML).
• Experience with ROS or other multimodal sensor data frameworks
• Prior work in a product or R&D environment with multi-disciplinary teams.
Company:
Microvast designs, develops, and manufactures charging, battery control systems for electric vehicles with superior safety. Founded in 2006, the company is headquartered in Stafford, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply