HR AI​/ML Engineer II

Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at

* Notice:
Know Your Rights:
Workplace Discrimination is Illegal

* Notice:
Pay Transparency Nondiscrimination (English)

* Aviso:
Transparencia en el Pago No Discriminación (Spanish)

Job Description:

Airbus Commercial is looking for an HR AI/ML Engineer to join our HR Digital team .

As an HR AI/ML Engineer supporting the North America region at Airbus, you will be at the forefront of digital transformation. In this role, you will be instrumental in developing and deploying innovative AI solutions that will revolutionize how we manage and utilize HR data, moving beyond traditional analytics to create intelligent, automated systems. You will be responsible for building, training, and maintaining AI agents to optimize key HR processes, as well as providing critical support for data engineering initiatives that ensure our data is clean, accessible, and reliable.

Meet the Team:

Working in our Human Resources department, it's our mission to help support Airbus' greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.

Your Working Environment:

The Washington, D.C. metro area is home to multiple Airbus offices:
In our nation's capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters - located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!

How We Care for You:

* Financial Rewards:
Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan and the ability to participate in an Employee Stock Ownership Plan ("ESOP")

* Work/Life Balance:
Paid time off including personal time, holidays and a generous paid parental leave program.

* Health & Welfare:
Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages.

* Individual Development:
Upskilling and development opportunities through our global Leadership University, including unlimited access to 10,000+ e-learning courses focusing on ways to develop your employability, certifications, career path as well as the opportunity to participate in accelerated development programmes and both national and international mobility.

Your Challenges:

* Design, develop, and deploy AI agents and machine learning models to solve complex HR challenges, such as employee sentiment analysis, talent acquisition optimization, and workforce planning.

* Partner with HR stakeholders and data analysts to identify business needs and translate them into technical requirements for AI solutions.

* Conduct exploratory data analysis to identify trends, patterns, and insights that can inform the development of AI models.

* Monitor, evaluate, and fine-tune deployed AI models to ensure optimal performance and accuracy.

* Stay up-to-date with the latest advancements in AI, machine learning, and data engineering to continuously improve our capabilities.

* Design, build, and maintain robust data pipelines to ingest, transform, and store HR data from various sources (e.g., APIs, databases, flat files).

* Optimize data architecture and databases to improve performance and scalability.

* Collaborate with IT and other data professionals to ensure the seamless integration of data solutions and to maintain a scalable data infrastructure.

* Adhere to data governance and security best practices to protect sensitive HR information.

Your Boarding Pass:

* Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or other quant-focused fields or…