Principle Machine Learning Engineer

C.H. Robinson is seeking a Principal Machine Learning Engineer where you can help us disrupt the logistics industry and take our technology to new heights with data science. In this role, you will translate R&D experimental efforts into production stable technology and software while partnering closely with a team of Data Scientists managing R&D efforts and projects.

Responsibilities:

• Translate Data Science Algorithms and Methods in R&D stage to stable, durable, and extensible software
• Provide thought leadership on best algorithm development practices and hosting technologies
• Engineer fully featured and real-time modeling pipelines that leverage the best of containerization, data storage, streaming, and MPP technologies
• Engineer and maintain ecosystem of modeling micro-services utilizing best of on-prem and cloud-based elastic compute
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure in collaboration with stakeholders
• Design and engineer high performance computing platforms and algorithms for a wide variety of data
• Work with real time data sources and have a knack for identifying scalable data access patterns
• Work closely with R&D data science teams to productionize successful models in an on-demand environment

Requirements:

• 8+ years of experience software development, scientific computing, and/or algorithm engineering
• Experience with implementing REST API endpoints in Python on Linux using Docker
• Familiarity with Statistical Algorithms, especially Boosting, Clustering, and Regression
• Experience in programming: R and Python
• Knowledge of Interfacing with SQL Server databases, HIVE, Kafka, Redis, MongoDb, ElasticSearch
• Bachelor's degree or equivalent work experience and a high school diploma/GED
• Expertise in additional programming languages
• Experience with Spark/Hive/Hadoop Ecosystems and other noSQL data environments
• Experience working with Machine Learning including Data Mining & Network Models
• Experience with deep learning including Tensorflow & PyTorch
• Values a diverse and inclusive work environment