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Machine Learning Object Detection Jobs in Minnesota

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

Rhythm Express is seeking an AI Engineer to join our team to develop and implement machine learning ... object-oriented programming, and Generative AI knowledge lookup tools is a plus. We are a leading ...

UnitedHealth Group

Data Scientist

Minnetonka, MN · On-site

$60K - $107K/yr

Develop traditional machine learning models (classification, anomaly detection, NLP pipelines) for high-volume healthcare datasets * Implement RAG (Retrieval-Augmented Generation) systems, embedding ...

UnitedHealth Group

Data Scientist

Minnetonka, MN · Remote

$60K - $107K/yr

Develop traditional machine learning models (classification, anomaly detection, NLP pipelines) for highvolume healthcare datasets * Implement RAG (RetrievalAugmented Generation) systems, embedding ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... machine learning and statistical methodologies • Translating validated models into forward ... object model well enough to write efficient queries and build reliable features from CRM data ...

Tactile Medical

Data Scientist

Minneapolis, MN

... appropriate machine learning and statistical methodologies Translating validated models into ... object model well enough to write efficient queries and build reliable features from CRM data ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Experience researching, developing, and implementing machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
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Machine Learning Object Detection jobs near you
AI Engineer

AI Engineer

VivaQuant, Inc.

Saint Paul, MN • On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Rhythm Express is seeking an AI Engineer to join our team to develop and implement machine learning algorithms used in cardiac remote monitoring. This position will work alongside and collaborate closely with engineers with expertise in signal processing, embedded systems, cloud, cybersecurity, and regulatory. The ideal candidate will graduate soon or has recently completed a bachelor’s or master’s degree in electrical engineering, computer engineering, computer science, biomedical engineering, or a related field and enjoys learning and stepping into new challenges. A strong foundation in deep learning, and machine learning is highly desirable. Experience or coursework in training models from scratch, fine-tuning pretrained models, data analysis and visualization using Python (NumPy, Pandas, Matplotlib, PyTorch/TensorFlow), data structures, algorithms, object-oriented programming, and Generative AI knowledge lookup tools is a plus.

We are a leading provider of remote cardiac monitoring services with offices in Arden Hills, MN, Dallas, TX, and Memphis, TN. We have been named by Inc. Magazine as one of the fastest growing private companies in America for three consecutive years. Our Rhythm Express RX-1 mini is the smallest and most advanced one-piece mobile cardiac telemetry (MCT) device on the market. We offer a collaborative and inclusive work environment where personal initiative, development, and learning are highly valued. We provide excellent benefits including medical, dental, and vision coverage, pet insurance, 401(k), paid time off, and generous stock options.

This is an on-site position based at our Arden Hills location. Our office is centrally located with nearby access to I-694, Snelling Ave, and I-35W. This facility includes natural light, high-efficiency filters, and UV sterilization to reduce pathogens in the air to keep employees safe.

www.rhythmexpressecg.com