Principle Machine Learning Engineer
About The Position
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. We compete on scale, and our systems need to leverage the best of Massive Parallel Processing and the Linux open-source ecosystem. You will report into a cross-functional data science unit that traverses the upstream and downstream Algorithm Development Lifecycle. The ideal candidate would be passionate about translating R&D experimental efforts into production stable technology and software. This job is 20% upstream and 80% downstream in accountability and partners closely with a team of Data Scientists managing R&D efforts and projects. Those who love to work with data will see this as a tremendous opportunity to improve the world's supply chains and develop a deep expertise in cutting edge statistical and mathematical techniques, while partnering with our team of technologists to bring it to life on a cutting-edge technology stack.
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
Nice To Haves
- 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
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
Benefits
- Three medical plans which include Prescription drug coverage
- Enhanced Fertility benefits
- Flexible Spending Accounts
- Health Savings Account (including employer contribution)
- Dental and Vision
- Basic and Supplemental Life Insurance
- Short-Term and Long-Term Disability
- Paid observed holidays
- 2 paid floating holidays for U.S. hourly employees
- Flexible Time Off (FTO) offered to U.S. salaried employees — no accruals and no caps.
- Paid Time Off (PTO) offered to all other employees in the U.S. and Canada
- Paid parental leave
- Paid time off to volunteer in your community
- Charitable Giving Match Program
- 401(k) with 6% company matching
- Employee Stock Purchase Plan
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Associate degree
