About DAT

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, and Beaverton, OR, with additional offices in Missouri, and Bangalore, India. For additional information, see www.DAT.com/company

Job Application Deadline: 05/31/2025

Candidate profile

As a Machine Learning Engineer I at DAT, you’ll join a cross-functional team focused on deploying, maintaining, and enhancing machine learning systems that power core parts of DAT’s product offerings. This entry-level role is ideal for those with foundational experience in ML engineering, who are eager to grow their skills in deploying ML solutions at scale and collaborating closely with researchers, engineers, and product stakeholders.

You will be instrumental in supporting the deployment of ML prototypes, maintaining production models, and ensuring they are well-integrated with the broader DAT platform.

What You’ll Do

Help move prototype models from research to production environments
Maintain and improve existing ML pipelines and services
Refactor legacy codebases to align with current software best practices
Monitor model health and performance, and contribute to model retraining efforts
Build and support tools for training, deployment, rollback, and versioning of ML models
Collaborate with researchers and engineers in code reviews, knowledge sharing, and cross-team initiatives

The Skills And Experience You’ll Bring

Bachelor's or higher in Computer Science, Engineering, Statistics, Mathematics, or a related STEM field
1–2 years of experience in an ML engineer, data scientist, or software engineering role (or equivalent academic/project experience)
Proficiency in Python and core libraries for data science (e.g., NumPy, pandas, scikit-learn)
Familiarity with ML lifecycle concepts such as training, evaluation, deployment, and monitoring
Basic understanding of SQL and version control (e.g., Git)

Bonus Skills

Not required, but experience with the following will help you ramp up more quickly:

Industry or academic experience in freight, logistics, or supply chain
Familiarity with ML operations tools such as Airflow, MLflow, or SageMaker
Working knowledge of CI/CD pipelines (GitHub Actions, Jenkins, etc.)
Containerization using Docker or Kubernetes
Snowflake or other cloud data warehouse experience
Interest in infrastructure-as-code tools like Terraform

About The Team

A collaborative and curious team with a culture of continuous learning
Opportunities to work on impactful, real-world data science products
Supportive mentorship from senior ML engineers and data scientists

Why DAT?

DAT is an award winning employer of choice.

For starters, we have a hybrid work environment, but we also know what makes a great workplace. We have a time-tested and resolute set of operating values predicated on integrity, mutual respect, open communication, and executing with excellence. These values inform our strategic vision as much as any one of our products does. We’ve been an employer of choice in the Portland metropolitan area for four decades, and within one year of opening our Denver office, DAT was #26 on Built In Colorado’s 100 Best Places to Work In Colorado.

Medical, Dental, Vision, Life, and AD&D insurance
Parental Leave
Up to 20 days of paid time off starting in year one
An additional 10 holidays of paid time off per calendar year
401k matching (immediately vested)
Employee Stock Purchase Plan
Short- and Long-term disability sick leave
Flexible Spending Accounts
Health Savings Accounts
Tuition Reimbursement Program
Employee Assistance Program
Additional programs - Employee Referral, Internal Recognition, and Wellness
Free TriMet transit pass (Beaverton Office)
Competitive salary and benefits package
Work on impactful projects in a cutting-edge environment
Collaborative and supportive team culture
Opportunity to make a real difference in the trucking industry
Employee Resource Groups

This position is not eligible for Visa sponsorship.

For Colorado-based candidates, in compliance with Colorado's Equal Pay for Equal Work Act, the minimum salary for this role is $120,000.00 + benefits. The maximum compensation for this role can vary significantly depending on your job-related skills and experience. DAT considers factors such as scope and responsibilities of the position, candidate's work experience, education and training, core skills, internal equity, and market and business elements when extending an offer.

DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank. We provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

Equal Opportunity Employer/Protected Veterans/Individuals With Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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