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C.H. Robinson

Senior Machine Learning Engineer

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in Chicago, IL
128K-296K Annually
Senior level
In-Office or Remote
Hiring Remotely in Chicago, IL
128K-296K Annually
Senior level
The Senior Machine Learning Engineer will translate data science algorithms into production software, engineer modeling pipelines, and optimize internal processes while collaborating with data science teams.
The summary above was generated by AI

C.H Robinson is seeking a Senior 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.

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

Required Qualifications:

  • 6+ 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

Preferred Qualifications:

  • 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

We will review applications for this role on an ongoing basis and encourage all interested candidates to apply at their earliest convenience.

Compensation Range

$127,500.00 - $295,900.00

The base pay range displayed on each job posting reflects the minimum and maximum base pay for the position across all U.S. locations. Your individual base pay within this range is determined by work location, which takes into account geographic cost of labor, and additional factors, including job-related skills, experience, and relevant education or training. Compensation details listed in this posting reflect the base pay only and do not include additional variable compensation.

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!

Equal Opportunity

C.H. Robinson is proud to be an Equal Opportunity Employer. We are committed to a workplace and performance culture that reflects the strengths of our worldwide marketplace. We value unique experiences and diverse backgrounds of our people within our company, our business relationships, and our communities. We’re committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected.

EOE\Disabled\Veteran  

Benefits

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:

  • 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

  • Plus a broad range of career development, networking, and team-building opportunities

Learn more about our benefit offerings on our BENEFITS & WELLBEING page

Top Skills

Docker
Elasticsearch
Hive
Kafka
MongoDB
Python
PyTorch
R
Redis
SQL Server
TensorFlow

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