Machine Learning Engineer

ABOUT LVT

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. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it.

• A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
• Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
• Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

About This Role

As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, 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 CV, 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

• BS in computer science, electrical and computer engineering, or related field. MS is preferred, and PhD is a plus.
• 3+ years of professional software development experience, including 2+ years creating and shipping production-level Machine Learning solutions.
• 1+ years of experience specifically training and deploying solutions leveraging CV and/or Language Models (LLMs) or Vision-Language Models (VLMs).
• Expert proficiency in one or more programming languages (e.g., Python, C/C++) 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 PyTorch, including the ability to select the optimal model for business applications.
• Experience with Neural Network and Transformer optimization (e.g., quantization, compression, distillation).
• 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 Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc.
• Experience with reinforcement learning methods for prediction and optimization.
• 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.

The beginning annual salary range for this role is $150,500.00 - $208,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.

BENEFITS

We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.

LVT IS PROUD TO BE 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. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.