We are looking for a Machine Operator to join our dynamic and fast-growing team and be part of the programming, operating, monthly preventative maintenance, and keeping a clean work area while adhering to all company safety policies. Machine operators will work closely with other members of the shop to ensure the completion of correct and accurate parts What You'll do: - Operate forklifts safely and efficiently in a shop environment - Read and interpret blueprints, drawings, and work instructions accurately - Use measuring tools (tape measures, calipers, etc.) with precision to ensure quality standards - Operate a variety of shop equipment, including waterjet, plasma, laser, press brake, plate roll, shear, mill, and band saw - Perform MIG and/or TIG welding on mild steel to meet project specifications - Maintain a clean, safe, and organized work environment - Assume other duties as assigned The Experience we are looking for: - 5+ Years of experience operating multiple forms of relevant shop equipment - 2+ Years of welding experience preferred (Mig or Tig) - Hands-on experience in a metal fabrication or manufacturing shop environment - Strong ability to read blueprints and use measuring tools accurately Additional Requirements: - Willingness to travel up to 10% across the continental U.S. - High school diploma or GED required - Valid and current driver’s license with a clean driving record - Must successfully complete a background check and pre-employment/random drug tests - Legally authorized to work in the United States Bonus Points for: - Prior experience with waterjet - Aluminum welding experience Why Join RMS Energy: We’re not just another power services company. We’re a tight-knit, mission-driven team that values safety, teamwork, innovation, and continuous growth - Competitive Compensation – Overtime potential and merit-based raises - Flexible Work Environment – Remote work with project-based travel - Full Benefits – Medical, dental, and vision coverage fully paid for employees, starting the month after hire - Steady Employment & Career Growth – Be part of a fast-growing company with promotion potential - 401(k) with Company Match – Traditional & Roth options + free investment guidance - Top-Tier Equipment – Provided to support you in the field - Compensated Travel Time plus Per Diem – Earn while seeing new places - Education Support – Paid training, certifications, and industry memberships - Generous PTO – Paid vacation, holidays, and sick leave - Employee Assistance Program – Legal, financial, and mental wellness support Want to be part of something meaningful? Apply today and join a team where People, Purpose, and Power come together – your future starts here. RMS Energy is an Equal Opportunity Employer. We believe diverse teams drive better outcomes, and we’re committed to creating an inclusive environment where all employees feel valued and empowered. For more information about RMS Energy, please visit www.rmsenergy.com.

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. • Working together with a wide variety of business functions to stop critical life safety and property damage incidents in real time. • Creating new holistic machine learning model detection strategies by collaborating with other trust and safety prevention teams around the Trust Organization. • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for fraud detection and mitigation. • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.

• Develop methods for producing synthetic training data to make models robust and generalize-able. • Develop, train and optimize AI/ML models (including large generative models and LLM's) for various applications. • Develop and implement efficient deployment strategies for these models on constrained computing platforms. • Conduct research and contribute to the development and enhancement of our machine learning systems and frameworks. • Manage and monitor the performance of deployed models and adjust as necessary.

• Develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies • Designs, develops, and researches Machine Learning systems • Transforms data science prototypes by applying appropriate Machine Learning algorithms and tools • Performs statistical analysis and using results to improve models • Inference Engineering: Drive the deployment and optimization of both standard predictive models and LLM architectures, balancing trade-offs between low latency, high throughput, and cost-efficiency • Platform Hardening: Transition research prototypes into resilient, production-ready microservices that can handle massive traffic • Lifecycle Orchestration: Execute automated pipelines for data and model versioning, validation, and retraining • Observability: Implement advanced monitoring for model drift, data integrity, and system health to ensure production reliability • Collaborative Standards: Uphold clean code practices, thorough documentation, and participate in rigorous code reviews across the ML and Engineering teams