Machine Learning Engineer; GenAI and Automation

Current job opportunities are posted here as they become available.

Staff Machine Learning Engineer (GenAI and Automation)

Reports To:

Senior Vice President of Data

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting‑edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data‑centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid‑market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

As a Staff Machine Learning Engineer (GenAI and Automation) working within Shared Services (one of our entities), you will be responsible for developing tech‑forward solutions to drive automation and informed decision‑making within our business. You will delve into unique and complex issues within the logistics space and partner with cross‑functional teams across business, technology, and product to ideate, develop, recommend, and implement solutions.

You will leverage your skill set in machine learning, automation, and GenAI to build various models and infrastructure delivering results and communications actionable insights.

• Develop and implement automation solutions that leverage statistics, machine learning, and Gen AI technologies within Redwood, impacting key metrics and streamlining network operations.
• Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders.
• Develop and optimize our agentic ML framework for speed, reliability, and observability.
• Collaborate with cross‑functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way.

• MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
• 8+ years of experience applying Machine Learning/MLOps to solve business problems.
• 2+ years of experience in applying GenAI (e.g., LLMs/ Multi‑Modal) or GenAI‑related concepts (language modeling) to business settings.
• Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production.
  
  Demonstrated ability in establishing and tracking meaningful metrics for ML system performance and reliability.
• Hands‑on experience with open‑source languages and tooling for large‑scale ML (e.g., Ray, Flink, Feast).
• Experience working with Data Warehouses and ETL pipelines (e.g., Redshift, Databricks, Snowflake, Airflow).
• Ability to communicate with technical and non‑technical stakeholders is a plus.
• Three years of experience in supply chain, logistics, transportation, or a similar space is a plus.

• Access to experts and resources for your Learning & Development journey
• Opportunity for internal mobility
• Employee referral bonus program
• Employee Resource Groups (ERGs)
• Annual fundraising and volunteer events to give back to communities
• Paid time off, floating holidays, time off to volunteer and rollover
• Paid parental leave
• Medical, dental, vision and 401k plans (with match)
• Flexible spending account, mass transit and dependent care plans available
• Health savings account, with a annual company contribution for plan participants
• Short‑term and long‑term disability; life insurance policies subsidized by company
• Additional benefits including pet insurance, accident care, access to legal advice and more

This position is full‑time and remote Monday through Friday from 8:00 AM to 5:00 PM with an hour break, but flexibility is available based on coverage.

Salary Range:

$160,000 - $220,000

This position is eligible to earn annual incentives based on individual and company performance.

The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.

REDWOOD LOGISTICS
1765 N. Elston Ave., Suite 216, Chicago, IL, 60642
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