ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Maryland

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin). * Solid understanding of machine learning, deep learning, and autonomous systems.

next page

Showing results 1-20

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Maryland

Embedded Machine Learning Internship information

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 the most commonly searched types of Embedded Machine Learning jobs in Maryland?

The most popular types of Embedded Machine Learning jobs in Maryland are:

What are popular job titles related to Embedded Machine Learning Internship jobs in Maryland?

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

What job categories do people searching Embedded Machine Learning Internship jobs in Maryland look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Maryland are:

What cities in Maryland are hiring for Embedded Machine Learning Internship jobs?

Cities in Maryland with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you

Machine Learning Engineer

PassFort

Berlin, MD • On-site

$79.93 - $137.02/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

Join us and play a pivotal role in transforming the automation landscape in heavy industries.

Role Overview:

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.

Key Responsibilities:
  • Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
  • Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles.
  • Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI.
  • Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
  • Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation.
  • Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.
Required Qualifications:
  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Proficient in Python; strong experience with PyTorch.
  • Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).
  • Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin).
  • Solid understanding of machine learning, deep learning, and autonomous systems.
Preferred Skills:
  • Experience with transformer-based perception architectures or VLA models.
  • Familiarity with BEV perception and multitask learning.
  • Experience with C++, ROS, and mmdetection.
  • Experience with perception in off-road, adverse-weather, or otherwise challenging conditions.
  • Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics.
What We Offer:
  • Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
  • Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
  • Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
  • Tailor your own career path, whether you like to become technical specialist or technical team lead
  • Experience a great team culture, beverages, and an amazing office environment
Benefits:
  • Attractive compensation package and stock options.
  • Beverages on-site and regular social events.
  • Engage with top-tier researchers, engineers, and thought leaders.
  • Influence the future of robotic technologies and tackle significant technological challenges.
  • Assistance with relocation to Berlin.
About Us:

Heavy machinery, light years ahead.

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

We are proudly backed by Point Nine and other Tier 1 investors.

#J-18808-Ljbffr

Apply