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!