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Artificial Intelligence Machine Learning Engineer Jobs in Salisbury, MD

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary ... We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen ...

U.S. Navy

Linguist

Pocomoke City, MD

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Berlin, MD

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Georgetown, DE

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Federalsburg, MD

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Salisbury, MD

Artificial Intelligence Machine Learning Engineer information

See Salisbury, MD salary details

$31.1K

$127.2K

$191.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for artificial intelligence machine learning engineer in Salisbury, MD is $127,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Salisbury, MD?

For Artificial Intelligence Machine Learning Engineer jobs in Salisbury, MD, the most frequently searched job titles are:

What cities near Salisbury, MD are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Salisbury, MD with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Salisbury, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $127,161 per year, or $61.1 per hour.

Machine Learning Engineer

PassFort

Berlin, MD • On-site

$79.93 - $137.02/hr

Other

Posted 23 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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