Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now.

At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus.

WAYFINDER

Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution.

The Opportunity/Role Description

As Wayfinder's Senior AI Engineer (Computer Vision, Data Quality), you will be pivotal in driving the performance of our AI systems, reporting to the Manager of AI Algorithms. You will take ownership of critical data pipelines, spearheading efforts to enhance data quality, understanding, and efficiency, including the development and implementation of advanced auto-labeling solutions. You will quickly prototype new projects, and take the promising ones to production.

Role Responsibilities

• Analyze and improve data quality and distribution for vision-based flight ML models, identifying and mitigating biases and gaps, specifically addressing challenges related to image data.
• Implement data mining and active learning strategies to curate high-quality computer vision datasets and optimize labeling efforts and training efficiency.
• Conduct rigorous evaluations of data and labeling quality, assessing effectiveness, efficiency of training and accuracy and coverage of testing.
• Develop and deploy automated data labeling pipelines including using foundation models (VLMs), big ML models, and traditional Computer Vision, ensuring accuracy and scalability.
• Develop metrics, visualization, and validation to improve data pipelines.
• Write high quality, product level code that is easy to maintain and test following standard methodologies.
• Collaborate with multiple teams (Data/Labeling, Validation), and ML teams in the global Airbus Organization.

Qualifications

• Master's degree (or equivalent industry experience) in computer science or a related discipline and 7 or more years of relevant experience
• 5+ years of industry experience working as a CV/ML perception software engineer in the field of autonomous vehicles, robotics, or related fields
• Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.)
• Experience in data auto labeling and active learning pipelines for production
• Extensive experience in Python
• Good communication skills

Good To Have

• Passion for aviation and autonomous systems
• Experience with LLM/VLM, OpenVocabulary Vision models, RL, and other emerging ML technologies
• Experience with data pipelines and visualization of embeddings, similarity/uniqueness, natural language search

Compensation:

The estimated salary range for this position is $156,000 to $195,000 annually. Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more.

Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.

Why Join Us?

Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving. At Acubed, your contributions will directly impact our digital future. We welcome diverse perspectives and are committed to fostering an inclusive environment.

Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities.

Acubed Requirements

All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.

* Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.