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Machine Learning Engineer Jobs in Brigham City, UT

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

JOB SUMMARY The Perception Engineer IV develops and advances perception systems that enable ASI ... Experience developing machine-learning solutions for detection, segmentation, classification, depth ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... machine learning, sensor-fusion, or autonomous-system softwareAdvanced proficiency in C++ and ... with engineering, operations, customer-facing, and field-testing teamsPREFERRED ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

JOB SUMMARY The Perception Engineer IV develops and advances perception systems that enable ASI ... Experience developing machine-learning solutions for detection, segmentation, classification, depth ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$100 - $130/hr

Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a ... related discipline * Experience developing perception systems for autonomous logistics vehicles ...

Varsity Tutors

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Python Tutor

Logan, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Brigham City, UT

Machine Learning Engineer information

See Brigham City, UT salary details

$28.2K

$115.3K

$173.2K

How much do machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning engineer in Brigham City, UT is $115,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What cities near Brigham City, UT are hiring for Machine Learning Engineer jobs?

Cities near Brigham City, UT with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Brigham City, UT as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $115,254 per year, or $55.4 per hour.

Perception Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$128K - $169K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago

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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