Senior AI/ML Engineer

🕒 September 26

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

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Logo of Roadpass Digital

Roadpass Digital

51 - 200 employees

💼 Consulting

🏨 Hospitality

📦 Logistics

Consulting • Hospitality • Logistics

Roadpass Digital is a company that provides digital tools to enhance travel and outdoor experiences. They offer apps like Roadtrippers, the leading road trip planning tool that assists users in seamlessly discovering, planning, booking, and navigating their trips. Another app, Campendium, caters to campers by helping them find ideal campsites with features like map overlays for cell coverage and public lands. Both apps are designed to create memorable travel experiences and simplify planning for road enthusiasts and campers. Roadpass Digital aims to revolutionize the way people discover and interact with the world around them by offering intuitive and engaging travel solutions.

📋 Description

• Maintain and scale the primary recommendation system for the core product • Maintain, implement, and optimize natural language AI tools, including customer service chatbots for multiple brands • Solve complex problems using advanced ML, AI, mathematical modeling, and optimization techniques • Manage the full machine learning lifecycle, including preprocessing, feature engineering, problem formulation, algorithm selection and evaluation, modeling, hyperparameter tuning, and model deployment • Use predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes • Mine and analyze company database data to improve product development, marketing techniques, and business strategies • Design, develop, and implement production-level code • Own the full development cycle, including design, development, impact assessment, A/B testing, result interpretation, and production deployment • Serve as a subject matter expert in data, advanced analytics, and visualization • Ensure accurate interpretation of business metrics, data models, and reports • Coordinate with functional teams to implement models and monitor outcomes • Ensure delivery of high-quality data products • Identify, design, and implement internal process improvements • Champion a data-driven and customer-focused culture

🎯 Requirements

• 5+ years experience in advanced analytics, machine learning, analytics engineering, or similar highly analytical role • Degree in a quantitative field such as Economics, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or Analytics • Strong experience with Python • Strong experience with AWS services including S3, SageMaker, and Bedrock • Strong experience with AI engineering tooling including LangChain, LangGraph, and LangSmith • Strong experience with RAG systems including vector databases such as PGVector • Advanced SQL knowledge, including CTEs and window functions • Expertise building, deploying, and maintaining machine learning models in production • Proven track record leading advanced Data Science, Machine Learning, and AI products and services • Experience creating predictive models for new product offerings • Ability to identify data science opportunities to improve products, processes, and model or analytical accuracy • Strong analytical ability to answer business questions with data • Excellent organization, communication, and presentation skills • Ability to communicate customer needs, architectural requirements, and product goals across cross-functional teams • Ability to translate complex processes for non-technical audiences • Ability to educate team members • Ability to lead, motivate, and work effectively in an entrepreneurial, fast-paced environment • Experience supporting and working with cross-functional teams in a dynamic environment • Confident decision-making and ability to explain processes or choices • Successful completion of a background check

🏖️ Benefits

• Flexible Time Off & 16 Company Paid Holidays • Collaborative & Inclusive Culture with small, self-organized, and cross-functional teams • Growth Opportunity through hands-on learning and development • Medical (PPO & HDHP-HSA), dental, and vision benefits • Flexible spending account • Commuter benefit • Discount programs • Life & disability insurance • Accident insurance • 401k program with company match • Paid parental leave • Lifetime subscription to Roadpass products • Work-Detoured benefit, including reimbursement to enjoy the outdoors

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