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Machine Learning Object Detection Jobs in Utah (NOW HIRING)

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... machine-learning solutions for detection, segmentation, classification, depth estimation, or trackingExperience with LiDAR point-cloud registration, filtering, clustering, mapping, and object ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... machine-learning solutions for detection, segmentation, classification, depth estimation, or tracking * Experience with LiDAR point-cloud registration, filtering, clustering, mapping, and object ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$100 - $130/hr

Lead complex perception features involving object detection, classification, segmentation, tracking ... Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a ...

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

VAST Data

Customer Support Engineer

Lehi, UT · On-site

You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage ...

nCino

Senior Data Scientist

Lehi, UT · On-site

... building large-scale machine learning, predictive modeling, and advanced analytics tools ... object-oriented programming (OOP), error handling, logging, contract testing, and version control ...

Whiterabbit.ai

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Utah

Machine Learning Object Detection information

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.

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 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 popular job titles related to Machine Learning Object Detection jobs in Utah?

For Machine Learning Object Detection jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in Utah look for?

The top searched job categories for Machine Learning Object Detection jobs in Utah are:

What cities in Utah are hiring for Machine Learning Object Detection jobs?

Cities in Utah with the most Machine Learning Object Detection job openings:

Machine Learning Object Detection jobs near you

Perception Engineer IV

Autonomous Solutions/A S I

Mendon, UT • On-site

Other

Medical, Retirement, PTO

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

Job description

JOB SUMMARY
The Perception Engineer IV develops and advances perception systems that enable ASI's autonomous logistics vehicles to understand their surroundings, detect and track objects, identify navigable space, and operate safely in dynamic material-handling environments. This role works with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other sensing technologies to support object detection, environmental modeling, localization, obstacle avoidance, and autonomous task execution.
As a Level IV engineer within ASI's five-level engineering structure, this position independently leads complex perception features and subsystem initiatives from technical definition through integration and validation. The role influences perception architecture, resolves difficult cross-system problems, and provides technical guidance to other engineers while collaborating closely with GNC, embedded software, systems, test, and field operations teams. Broader platform strategy and organization-wide technical direction remain aligned with engineering leadership and Level V technical authorities.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Design, develop, integrate, and validate advanced perception algorithms for autonomous logistics and material-handling applications
  • Lead complex perception features involving object detection, classification, segmentation, tracking, obstacle detection, free-space identification, and environmental understanding
  • Develop perception capabilities for detecting vehicles, equipment, personnel, pallets, containers, racks, structures, loading areas, and other operational objects
  • Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems
  • Develop environmental models that support safe navigation, route planning, docking, alignment, loading, unloading, and material-movement workflows
  • Lead defined perception workstreams from requirements development through architecture, implementation, integration, testing, and release
  • Contribute to perception architecture and technical design decisions for autonomous logistics platforms
  • Establish technical approaches, performance metrics, and acceptance criteria for complex perception capabilities
  • Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems, and supporting autonomy software
  • Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field validation
  • Analyze large datasets to identify false detections, missed detections, tracking failures, environmental limitations, and system-level edge cases
  • Develop and improve automated workflows for data collection, labeling, replay, regression testing, visualization, and performance analysis
  • Lead troubleshooting of complex issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, computing performance, and system integration
  • Guide sensor selection, placement, mounting, configuration, calibration, and validation activities
  • Optimize perception algorithms for real-time execution on embedded CPUs, GPUs, and other computing platforms
  • Collaborate with GNC engineers to ensure perception outputs support safe navigation, motion planning, obstacle avoidance, and task execution
  • Partner with systems engineers to define interfaces, requirements, failure responses, and operational constraints for perception subsystems
  • Work with test engineers and field testers to develop comprehensive validation scenarios for logistics environments
  • Investigate difficult field failures and lead the development and verification of corrective actions
  • Conduct design reviews and code reviews while providing technical feedback to other engineers
  • Mentor less-experienced engineers and support improvements to engineering practices, development tools, and team standards
  • Communicate technical risks, limitations, findings, and recommendations to engineering teams and leadership
  • Document algorithms, architectures, interfaces, assumptions, test results, technical decisions, and known system limitations
  • Support customer demonstrations, field deployments, acceptance testing, and troubleshooting activities as required

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Typically eight or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system software
  • Advanced proficiency in C++ and Python
  • Demonstrated experience independently developing and delivering complex perception features for robotic or autonomous systems
  • Strong experience with computer vision, point-cloud processing, sensor fusion, object tracking, or machine-learning algorithms
  • Experience working with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, or other robotic sensing technologies
  • Strong understanding of coordinate systems, geometric transformations, sensor calibration, data synchronization, and three-dimensional geometry
  • Experience designing software interfaces and integrating perception components into complex hardware and software systems
  • Experience developing and optimizing real-time software for embedded or constrained computing platforms
  • Advanced experience working in Linux-based software-development environments
  • Experience with ROS, ROS2, or comparable robotics middleware
  • Experience developing production-quality software using version control, peer review, automated testing, continuous integration, and configuration-management practices
  • Ability to define meaningful performance metrics and use large datasets to evaluate perception-system performance
  • Demonstrated ability to diagnose and resolve complex software, sensor, computing, and system-integration issues
  • Ability to provide technical guidance and constructive feedback to other engineers
  • Strong analytical, debugging, and technical problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively with engineering, operations, customer-facing, and field-testing teams

PREFERRED QUALIFICATIONS
  • Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related discipline
  • Experience developing perception systems for autonomous logistics vehicles, material-handling equipment, industrial vehicles, mobile robots, or heavy equipment
  • Familiarity with warehouse, yard, distribution-center, manufacturing, loading, unloading, or material-movement workflows
  • Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, TensorRT, or similar technologies
  • Experience developing machine-learning solutions for detection, segmentation, classification, depth estimation, or tracking
  • Experience with LiDAR point-cloud registration, filtering, clustering, mapping, and object detection
  • Experience with multi-object tracking, occupancy grids, free-space detection, semantic mapping, or environmental modeling
  • Familiarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methods
  • Experience optimizing software for GPUs, embedded computers, or real-time systems
  • Experience with simulation, recorded-data replay, software-in-the-loop testing, and hardware-in-the-loop testing
  • Experience with docking, alignment, pallet detection, container detection, load identification, or precision positioning applications
  • Familiarity with functional safety principles and validation practices for autonomous or safety-critical systems
  • Experience validating autonomous systems in industrial, indoor, outdoor, low-light, high-traffic, dusty, or weather-exposed environments

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • Employee Stock Ownership Plan
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
This is a full-time employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.

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