C.H. Robinson is seeking a Senior Machine Learning Engineer to help build robust, scalable systems that empower our data science and engineering teams. As a Machine Learning Engineer, you will play a key role in delivering production‑grade, scalable ML infrastructure and services. You’ll collaborate directly with scientists and engineers across product teams to iterate on user needs, deliver intelligent capabilities, and optimize performance. You’ll also help build and maintain a reusable platform that accelerates the machine learning lifecycle: from experimentation to deployment and monitoring. In this role, you will also contribute to new predictive and data‑driven capabilities that enhance our customer‑facing technology. You’ll bring strong machine learning expertise, a proactive problem‑solving mindset, and the ability to translate problem statements into effective ML strategies. Your work will directly support our teams in building meaningful, high‑impact solutions used across our platform ecosystem. **Responsibilities** The duties and responsibilities of this position consist of, but are not limited to, the following: + Collaborate with data scientists, product engineers, and stakeholders to design, implement, and technically lead ML‑powered solutions + Build and maintain reusable libraries, pipelines, and platform tools that enable efficient model training, deployment, and monitoring + Contribute to evolving our domain models and ontology layer that supports consistent data and ML integration + Iterate with users to ensure solutions are intuitive, performant, and aligned with their workflows + Apply software engineering best practices, including secure coding, modular design, and CI/CD automation + Write comprehensive unit and performance tests to ensure system stability and prevent regression + Proactively identify and resolve technical debt, performance bottlenecks, and scalability challenges + Document systems and code for maintainability and team‑wide knowledge sharing + Stay current with industry best practices in MLOps, cloud computing, and ML system design **Required Qualifications** + Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field + 5+ years of experience in software engineering or machine learning engineering + Experience in the logistics/supply chain industry or with a company where building software solutions is a core part of the business (e.g., product‑driven environments, technology‑led organizations, or companies with strong supply‑chain or data‑heavy operations) + Proficiency in Python and C#/.NET Core for backend and ML‑integrated workflows + Strong experience with Azure ML, Azure Cloud Services, and containerized environments (Kubernetes) + Experience designing and building scalable data or ML pipelines using tools like Airflow/Astronomer + Familiarity with data platforms such as Snowflake, PostgreSQL, MongoDB, and Redis + Solid understanding of distributed systems, microservices, and message‑based architectures (e.g., Kafka) + Proven experience writing production‑level code with attention to testing, logging, and monitoring **Preferred Qualifications** + Demonstrated experience leading end‑to‑end delivery of production ML systems or platform components + Experience implementing and scaling MLOps practices in a production environment + Hands‑on experience working with large datasets and distributed training workflows + Familiarity with feature stores, model registries, and experiment tracking tools + Contributions to internal or open‑source ML libraries/platforms + Ability to mentor junior engineers and influence engineering best practices **WHAT WE OFFER:** + Real opportunities to grow your talent in a fast-moving, global organization + A fun, open, and inclusive workplace that encourages innovative thinking + Possibility to develop your language skills in our multilingual offices + Opportunities for professional growth with access to training platforms like + Comprehensive benefits: Private medical insurance, additional Life insurance, Employee Assistance Program (EAP), Employee Stock Purchase Plan (ESPP) after one year of employment Questioning if you meet the mark? Studies have shown that some individuals may be less likely to apply unless they match the job description exactly. Here at C.H. Robinson, we’re building an inclusive workplace where all employees feel they belong. If this position excites you, we welcome you to apply whether you check all the preferred qualifications or just a few. You may just be our next great fit! **Why Do You Belong at C.H. Robinson?** C.H. Robinson solves logistics problems for companies across the globe and across industries, from the simple to the most complex. With $22 billion in freight under management and 19 million shipments annually, we are one of the world’s largest logistics platforms and rank in the FORTUNE 200. We’ve been an innovator in logistics for over 100 years. Our global suite of services accelerates trade to seamlessly deliver the products and goods that drive the world’s economy. With the combination of our multimodal transportation management system and expertise, we use our information advantage to deliver smarter solutions for more than 90,000 customers and 450,000 contract carriers on our platform. Our technology is built by and for supply chain experts to bring faster, more meaningful improvements to our customers’ businesses. As a responsible global citizen, we contribute millions of dollars to support causes that matter to us and our people. FORTUNE has named C.H. Robinson one of the World’s Most Admired Companies 2024, showcasing our position as a leader in our industry. Our commitment to excellence is further affirmed by being named a Great Place to Work 2023-24 by the Great Place to Work Institute, one of Forbes’ Best Employers for Diversity and one of America’s Greatest Workplaces in 2023 by Newsweek. Join us as we collaborate, innovate, and work as one global team to make life better and more sustainable for our customers, communities, and world. For more information, visit us at www.chrobinson.com .