<strong>About Roadpass:<br><br></strong>Roadpass Digital revolutionizes road-based travel and outdoor tourism through innovative products and services. We aim to empower travelers who love exploring the outdoors and are always ready for their next adventure. Our brands include Roadtrippers and Campendium.<br><br>Roadpass makes those experiences more accessible and more memorable by making it easier than ever to hit the road.<br><br>We empower travelers and businesses that understand the outdoors are meant to be explored, that roads are meant to be driven, and that your next adventure is right around the corner.<br><br>Millions of travelers have discovered the benefits of Roadpass brands and the ability to make it easier to own and maintain recreational vehicles, which help them discover, book, and navigate road trips.<br><br><ul><li>Roadtrippers is the #1 road trip planning tool. Roadtrippers helps people discover the world around them in an entirely new way by streamlining discovery, planning, booking, and navigation into an engaging and intuitive process</li><li>Campendium is a camping app that helps traveling families, couples, and soloists find an ideal campsite, verified by an entire community of campers. Features include map overlays for cell coverage and public lands so you can always find the perfect campsite. Campendium is free to use and will change how you find a place to call home for the night<br><br></li></ul>We value our people and are committed to creating a healthy and fun culture for our team. We're #hiring and looking for talented folks. Let's talk if you want to join a top tech company!<br><br><strong>Role Overview:<br><br></strong>The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative engineering to ship intelligent, product-driven solutions. This role partners with product, design, and engineering teams to turn advanced models and analytics into features that deliver real user value. The ideal candidate is technically curious, rigorous about detail, communicates clearly across disciplines, and thrives on solving hard problems in production settings.<br><br><strong>Where You're Located:<br><br></strong>Candidates for this role will be based in the United States and work remotely.<br><br><strong>Requirements<br><br></strong><ul><li>Champion a data-driven and customer-focused culture</li><li>Maintain and scale the primary recommendation system for the core product</li><li>Maintenance, implementation, and optimization of natural language AI tools including customer service chatbots for multiple brands</li><li>Solve complex problems using advanced ML, AI, and mathematical modeling and optimization techniques with involvement in the whole lifecycle, including but not limited to pre-processing, feature engineering, problem formulation, algorithmic selection/evaluation, modeling, hyper-parameter tuning, and model deployment</li><li>Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes</li><li>Mine and analyze data from company databases to optimize and improve product development, marketing techniques, and business strategies</li><li>Design, develop, and implement production-level code. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results), and production deployment</li><li>Serve as a subject matter expert in data, advanced analytics, and visualization within Roadpass Digital, ensuring accurate interpretation of core business metrics, data models, and reports</li><li>Coordinate with different functional teams to implement models and monitor outcomes</li><li>Ensure the delivery of high-quality data products</li><li>Identify, design, and implement internal process improvements<br><br></li></ul><strong>Experience:<br><br></strong><ul><li>5+ years experience in advanced analytics, machine learning, analytics engineering, or similar highly analytical role</li><li>Degree in a quantitative field (e.g., Economics, Statistics, Computer Science, Engineering, Mathematics, Information Systems, Analytics)</li><li>Strong experience with Python</li><li>Strong experience with AWS services including S3, SageMaker, and Bedrock</li><li>Strong experience with AI engineering tooling (LangChain, LangGraph, and LangSmith)</li><li>Strong experience with RAG systems including vector databases (PGVector)</li><li>Advanced SQL knowledge to query data warehouses, including knowledge of CTEs and window functions</li><li>Expertise in building, deploying and maintaining machine learning models in production</li><li>Proven track record leading the development and delivery of advanced, actionable Data Science, Machine Learning / AI products and services, including creating predictive models that serve as a foundation for new product offerings</li><li>Ability to identify and assess key opportunity areas where data science can enhance and improve existing products by increasing the efficiency of processes and accuracy of model/analytical results</li><li>Strong analytical mind toward breaking down business questions with data answers</li><li>Excellent organization, communication, and presentation skills, with the ability to bring clarity to complexity and communicate customer needs, architectural requirements, and product goals across cross-functional teams</li><li>Ability to translate highly complex processes for non-technical audiences</li><li>Team player with proven ability to educate team members</li><li>Self-starter who thrives in an entrepreneurial, fast-paced environment with a demonstrated capacity to lead, motivate, and work well with others</li><li>Experience supporting and working with cross-functional teams in a dynamic environment</li><li>Confident in decision-making and able to explain processes or choices as needed<br><br></li></ul><strong>Benefits<br><br></strong><ul><li> Flexible Time Off & 16 Company Paid Holidays: We believe this is a partnership. We trust our employees to build their own time-off schedules and encourage our teams to take time for their well-being</li><li> Collaborative & Inclusive Culture: Our employees work in small, self-organized, and cross-functional teams that determine the best tactics to support the vision and strategy set by leadership. We encourage and welcome all ideas, taking an agile approach to creating an amazing product</li><li> Growth Opportunity: Through hands-on learning and development, the opportunities are endless</li><li> Focus on Well-Being: We pride ourselves on offering numerous benefit options to fit best the needs of our employees and their families, including domestic partners. Benefits include medical (PPO & HDHP-HSA), dental, vision, flexible spending account, commuter benefit, discount programs, life & disability insurance, and accident insurance. We also offer a 401k program with company match and paid parental leave</li><li> Live your Passion: We believe in living our mission and vision. As members of our team, our employees enjoy a lifetime subscription to our products. This is in addition to our Work-Detoured benefit, which encourages and reimburses our team to live our brand by enjoying the outdoors<br><br></li></ul>Roadpass Digital is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and high-performing workplace culture. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.<br><br>Employment is contingent upon the successful completion of a background check in accordance with the applicable federal, state, and local laws.<br><br><strong>Use of Artificial Intelligence (AI) in the Interview Process: </strong>Roadpass Digital is committed to a fair and equitable hiring process. To ensure the integrity and accuracy of candidate evaluations, the use of Artificial Intelligence (AI) or other automated tools is not permitted during interviews. Limited use of AI is allowed for technical assignments, if all submitted work reflects the candidates own understanding, skills, and abilities. If AI is used to assist with the technical assignment, the candidate must be prepared to explain how it was used and how its outputs were adapted to meet requirements. Any misuse of AI tools may result in disqualification for consideration.