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Machine Learning Developer Intern Jobs in Maryland

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

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 ...

HCI

AI Developer Fall Intern

Ellicott City, MD

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity. This position is ... communication skills, learning speed, initiative, and alignment with HCIactive's AI-first ...

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support ... Python, R, statistics, machine learning coursework * Data Engineering: SQL, databases, cloud ...

HCI

AI Fall Intern

Ellicott City, MD

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity What We're Looking ... communication skills, learning speed, initiative, and alignment with HCIactive's AI-first ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Maryland are hiring for Machine Learning Developer Intern jobs?

Cities in Maryland with the most Machine Learning Developer Intern job openings:

Machine Learning Developer Intern jobs near you

Machine Learning Engineer

PassFort

Berlin, MD • On-site

$79.93 - $137.02/hr

Other

Posted 14 days ago

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.

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