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.

ABOUT LVT LVT is on a mission to make the world safer and more secure through rapidly deployable security hardware that runs on our proprietary SaaS platform. Our enterprise-grade safety and security ecosystem makes it easy to secure essentially any physical environment through intelligent automation and actionable insights. As an industry leader in the IoT space, our systems are deployed in every state and adopted by Fortune 500 enterprise companies who share this vision. ABOUT THIS ROLE As a MLOps Engineer III at LVT, you will play a critical role in developing end-to-end infrastructure for machine learning development and deployment to the cloud and a fleet of edge devices. You will be responsible for providing technical guidance, driving innovation in machine learning operations, and ensuring the seamless integration of ML workflows across data pipelines, machine learning tools, edge deployment, cloud deployment, and observability. This position requires exceptional technical expertise, mentorship and leadership skills, and a passion for delivering high-quality machine learning infrastructure. RESPONSIBILITIES Technical Leadership - Provide technical leadership and mentorship to a growing team of engineers working on machine learning infrastructure. - Help set the technical direction, define best practices, and drive the adoption of modern ML Ops methodologies and technologies. Infrastructure Development - Design, build, and maintain scalable and robust ML Ops infrastructure for cloud and edge deployments. - Evaluate and make build vs. buy decisions for ML tools and platforms. Data Pipeline and Tools - Develop and optimize data pipelines to support machine learning workflows. - Integrate and manage machine learning tools for model training, validation, and deployment. Deployment - Oversee the deployment of machine learning models to cloud environments and edge devices. - Ensure robust and reliable deployment processes, including continuous integration and continuous deployment (CI/CD). Observability and Monitoring - Implement observability solutions to monitor the performance and health of ML models and infrastructure. - Proactively identify and address issues in ML pipelines and deployments. Collaboration - Collaborate with cross-functional teams such as data scientists, software engineers, and product managers to ensure seamless integration and successful delivery of ML products. - Foster effective communication channels and promote a culture of collaboration and knowledge sharing. Continuous Improvement - Drive continuous improvement initiatives to enhance ML Ops processes, productivity, and efficiency. - Identify bottlenecks, streamline workflows, and implement tools and methodologies to optimize the ML development lifecycle. QUALIFICATIONS - Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field. - 5-7+ years of professional experience in software engineering, with a focus on ML Ops or related fields. - Strong expertise in cloud platforms (e.g., AWS, GCP, Azure) and edge computing. - Proficiency in programming languages such as Python, GoLang, or C++. - Experience with ML Ops tools and frameworks (e.g., Kubeflow, MLflow, PyTorch, etc). - Excellent problem-solving, debugging, and analytical skills, with the ability to navigate complex technical challenges. - Strong interpersonal and communication skills, with the ability to collaborate effectively with diverse stakeholders. - Demonstrated ability to thrive in a fast-paced and dynamic environment, managing multiple priorities simultaneously. - Track record of delivering high-quality machine learning infrastructure and/or products on time and within budget. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). - Familiarity with data engineering and big data technologies. - Knowledge of security best practices in ML Ops and cloud deployments. - Experience with monitoring and observability tools (e.g., Prometheus, Grafana). 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves providing technical leadership and guidance to development teams while ensuring alignment with architectural standards and best practices. - Technical Leadership: Provide technical guidance and leadership to development teams, ensuring alignment with architectural standards and best practices - Solution Design: Design and document scalable, secure, and efficient software architectures that meet business requirements - Stakeholder Collaboration: Work closely with stakeholders, including product managers, business analysts, and developers, to understand requirements and translate them into technical solutions - Technology Evaluation: Evaluate and recommend tools, frameworks, and technologies to improve system performance, scalability, and maintainability - Code Reviews/Collaboration: Conduct code reviews to ensure adherence to architectural principles, coding standards, and quality guidelines. Collaborate with the dev team to ensure timely deliverables and resolve any technical blockers - Performance Optimization: Identify and address performance bottlenecks, ensuring systems are optimized for speed and reliability - Documentation: Create and maintain architectural documentation, including diagrams, technical specifications, and guidelines - Risk Management: Identify potential risks in the architecture and propose mitigation strategies - Compliance: Ensure that solutions comply with industry standards, security protocols, and regulatory requirements - Continuous Improvement: Stay updated on industry trends and incorporate AI/innovative practices into the architecture Qualifications - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - 8+ years of experience in software development, with 3+ years in an architectural or leadership role - Experience with databases (SQL and NoSQL) and data modeling - Proven experience designing and implementing scalable, distributed systems - Knowledge of industry trends and emerging technologies - Solid knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) - Familiarity with DevOps practices, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes) - Expertise in microservices architecture, APIs, and integration patterns - Proficiency in multiple programming languages (e.g., Python, Java) - Proven solid problem-solving and analytical skills - Proven ability to mentor and guide development teams Requirements - Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) - Claims processing/EDI related knowledge Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

We are looking for a Petroleum Engineer to join our Customer Experience team. As experts in ComboCurve, this team’s mission is to ensure our customers find value in using our software and continue to renew and grow with us. You will be instrumental in driving success throughout the customer journey, beginning with onboarding, and continuing with adoption, usage, value recognition, and advocacy. If you are interested in being part of a fast paced, quickly growing company that is revolutionizing the energy industry, this is the position for you. We offer competitive pay, fantastic benefits, and are a completely remote company. We are currently looking for candidates located in the Houston, Dallas, Midland, or Austin areas. Responsibilities Include: · Contributing to ComboCurve’s client retention goals by driving product adoption and expanding usage through proactive, regularly scheduled touchpoints. · Serving as the primary owner of the consultative journey for an assigned portfolio of customers. · Advising clients on industry best practices, reservoir engineering workflows, and how to maximize value using ComboCurve. · Identifying opportunities for user growth and account expansion within existing client organizations. · Developing, executing, and maintaining strategic success plans tailored to each allocated customer. · Acting as a trusted advisor and thought leader within the oil and gas industry by contributing to relevant content, discussions, and insights. · Serving as the source of truth for all facets of your customer base, including technical workflows, business objectives, and account strategy. · Driving client adoption by aligning ComboCurve solutions with evolving business needs and operational goals. · Supporting customer inquiries through established support processes and ensuring timely resolution. · Advocating for customers internally by providing strategic feedback to Product, Sales, and Leadership teams to continuously improve the customer experience. · Travel intermittently for on-site customer engagements and trade shows. We are looking for someone who has: · A background of 1-4 years in Reservoir Engineering. · Familiarity with reservoir engineering workflows, including but not limited to A&D evaluations, PDP forecasting, upside forecasting, and economic evaluations. · Experience with ARIES, PHDWin, and other similar reservoir engineering and economic modeling software. · A collaborative, team-oriented mindset with the ability to work cross-functionally. · A strong analytical and process-driven approach to problem solving. · Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.