LVT (LiveView Technologies)

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. Named one of the Financial Times’ Fastest Growing Companies 2025 #10 on the Inc. 5000 Rocky Mountain Regional list for 2025 CEO Ryan Porter named an EY Entrepreneur of the Year 2025 CTO Steve Lindsey inducted into the Silicon Slopes CTO Hall of Fame in 2024 Named one of The Software Report’s Top 100 Software Companies of 2023 Winner of the Security Today Govies Award for 2025

Senior Applied Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000

Location

United States

Posted

10 days ago

Salary

Not specified

No structured requirement data.

Job Description

ABOUT THIS ROLE

As a Senior Machine Learning Engineer, you will play a critical role on a team of engineers that drive new LLM, VLM, and Agentic AI development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring. Department leads will need your help to understand which problems are appropriate for ML, and to select the appropriate machine learning models for our business needs. Your recommendations will help guide us in design decisions that add significant value to the company.  You will have an opportunity to impact the success of the business with ML, and in other areas of software engineering.

JOB RESPONSIBILITIES

  • Lead, design, implement, and improve ML and AI solutions leveraging LLM’s, VLM’s, and Agentic AI

  • Explore and research new and emerging ML technologies for the company

  • Share insight into which types of problems are most appropriate for machine learning

  • Provide guidance on distributed training and data collection

  • Create solutions that are optimized to combine Edge IOT devices and Cloud Services

  • Work in a multidisciplinary team

  • Facilitate a culture of innovation, transparency, and clear communication

  • Write and review technical documents, including requirements and design documents

QUALIFICATIONS

  • 7+ years of professional software development experience, including 5+ years creating and shipping production-level Machine Learning solutions.

  • 2+ years of experience specifically deploying solutions leveraging Large Language Models (LLMs) and Vision-Language Models (VLMs).

  • 1+ years of experience building Agentic AI applications 

  • Expert proficiency in one or more programming languages (e.g., Python, C/C++, Java) and familiarity with open-source technologies.

  • Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization.

  • Experience with ML frameworks such as TensorFlow, PyTorch, or Keras, including the ability to select the optimal model for business applications.

  • Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic’s MCP, Google’s A2A, etc.

  • Solid experience with applied data science methods, data structures, and algorithms.

  • Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data.

  • Experience with Linux/Unix environments and source control systems (Git).

  • Familiarity with cloud-based development platforms (e.g., AWS, Azure).

  • Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude.

  • Excellent written and verbal communication skills for technical and cross-functional teams.

Desired:

  • Experience with Neural Network optimization (e.g., quantization, compression, distillation).

  • Experience with Container ecosystems (e.g., Docker, Kubernetes).

  • Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion.

  • Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences.

WHY JOIN US

  • Founder-led and employee-driven company 

  • The opportunity to build where you stand

  • Value centric decision making

  • Both an economically stable and hyper-growth environment (ask us how this is possible)

  • The market leader in redefining how B2B does security

On top of the obvious benefit of getting paid to work with great people who are laser-focused on a mission that matters, we also offer the following benefits:

  • Comprehensive health, vision, and dental benefits for you and your family. Including supplemental and life insurance, company-paid HSA contributions, and an Employee Assistance Program (EAP). 

  • 401(k) With up to 4% match

  • Time Off & Paid Holidays - Ask us how we empower employees to take control of their well-being

  • Stock Options - Every full-time employee has the opportunity to be an owner of the company and benefit from our success. 

  • Paid Parental Leave - To help your growing family while you're away from work. 

  • Company Events - Christmas Party, Summer Party, and other parties to celebrate whenever we can find an excuse. 

  • Charitable Opportunities - LVT sends groups of employees to help the Daybreak Vision Project restore sight to thousands of people a year. 

  • Wellness - We regularly host dentists, chiropractors, financial experts, and other professionals to provide services and seminars to help promote physical, mental, emotional, and financial wellness. 

  • And More - Scholarship opportunities for employees and their dependents, discounted cell services, and opportunities to score tickets to Utah Jazz games and other Delta Center events.

HR Policy 
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All Candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S.

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