Machine Learning Engineer II - Remote
- Job ID
- Primary Location
- Eden Prairie, Minnesota
- Additional Location(s)
- Atlanta, Georgia; Houston, Texas; Phoenix, Arizona; Grapevine, Texas; Las Vegas, Nevada; Raleigh, North Carolina; Austin, Texas; Seattle, Washington
C.H. Robinson solves logistics problems for companies across the globe and across industries, from the simple to the most complex. With $28 billion in freight under management and 2.5X larger than the next largest North American freight broker, we are one of the world’s largest logistics platforms with our 100,00 customers and 85,000 contract carriers. Our global suite of services accelerates trade to seamlessly deliver the products and goods that drive the world’s economy. Our technology is built by and for supply chain experts to bring faster, more meaningful improvements to our customers’ businesses.
As a Machine Learning Engineer II on our Transactional Costing teamat C.H. Robinson, 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.
C.H. Robinson recognizes the importance of workplace flexibility. We are committed to providing a remote-friendly work environment, both now and in the future. Our global technology teams will continue to have the flexibility that enables you to work where you are most effective, whether that be remote or in the office.
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
Minimum 4 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: Java or Scala especially
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
Equal Opportunity and Affirmative Action Employer
C.H. Robinson is proud to be an Equal Opportunity and Affirmative Action employer. We believe in equality for all and celebrate the diversity of our employees, customers and communities. We believe this increases creativity and innovation, drives business growth and enables engaged and thriving teams. We’re committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected.
Affirmative Action Employer/EOE/M/F/Disabled/Veteran
Your Health, Wealth and Self
Your total wellbeing is the foundation of our business, and our benefits support your financial, family and personal goals. We provide the top-tier benefits that matter to you most, including:
Two medical plans (including a High Deductible Health Plan)
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 and floating holidays
Paid time off (PTO)
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
Plus a broad range of career development, networking, and team-building opportunities
Dig in to our full list of benefits on OUR CULTUREpage.
Why Do You Belong at C.H. Robinson?
Standing out among the world’s largest logistics platforms, C.H. Robinson solves logistics problems for companies across the globe and across industries, from the simple to the most complex. For 100+ years, our global suite of services has innovated trade to seamlessly deliver the products and goods that drive the world’s economy. With 19 million shipments annually for 105,000 customers, our people and technology literally move the world.
As a FORTUNE 200 company, FORTUNE has also named C.H. Robinson one of the World’s Most Admired Companies 2022. Headquartered in Eden Prairie, Minnesota, we are proud to be recognized as one of LinkedIn’s Top Companies in Minneapolis-St. Paul 2021. And we’re not stopping there… 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.
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