Accelerate Enterprise Intelligence as an AI/ML Engineer (P1)
Are you passionate about the foundational elements of machine learning and eager to contribute to innovative AI solutions within a collaborative, growth-oriented team environment? Trimble is seeking an enthusiastic AI/ML Engineer (P1) to join our Construction Management Solutions (CMS) team. This role offers an exceptional runway to accelerate your career in AI/ML engineering, working directly alongside seasoned data scientists and principal engineers to transform complex real-world data into actionable, production-grade enterprise tools.
About Us:
Dedicated to the world’s tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com
About Our Division: Construction Management Solutions (CMS)
As an industry leader in construction software and ERP solutions, Trimble CMS empowers contractors worldwide. Our solutions seamlessly connect the office, team, and jobsite by integrating essential business functions like accounting, project management, and field operations. Operating on the Trimble Construction One (TC1) connected ecosystem, our collaborative cloud platforms enhance transparency, efficiency, and profitability for organizations of all sizes across the globe.
What Makes This Role Great:
This role provides a structured, high-support environment designed to build deep competencies in applied machine learning, data engineering, and modern MLOps under direct mentorship. Working within our CMS engineering organization, you will gain hands-on exposure to rich industrial datasets, participate across the full AI project lifecycle, and contribute to cutting-edge model integration. Whether you are stepping in as an Associate Engineer (P1) , you will enjoy real technical ownership, contributing to software tools that drive physical-world operations globally.
Key Exciting Responsibilities
Algorithm & Model Development: Assist in developing, implementing, and fine-tuning machine learning algorithms and foundational models, with direct exposure to advanced deep learning paradigms.
Data Engineering & Preprocessing: Own data collection, sanitization, exploratory analysis, and feature engineering tasks to ensure data quality, consistency, and industry-specific relevance.
Testing, Verification & Code Health: Execute routine testing, debugging, and comprehensive documentation of ML codebases and pipelines to ensure reproducible, high-performance systems.
ML Integration & Operationalization: Support the integration of trained models into enterprise-grade applications, adhering to standard architectural patterns while learning essential MLOps practices such as containerization, artifact tracking, and performance monitoring.
Cross-Functional Collaboration: Partner with senior engineers and domain specialists to translate ambiguous business requirements into well-defined machine learning tasks and actionable delivery milestones.
Essential Skills & Experience
Education: Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a closely related quantitative field (Trimble's Professional ladder typically requires four or more years of formal education).
Core ML Literacy: Strong conceptual grounding in machine learning theory, evaluation metrics, statistical techniques, and foundational deep learning concepts.
Programming Proficiency: Strong coding skills…