About Acubed 

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 Machine Learning Engineer, you will own parts of ML pipelines with a focus on improving the overall end-to-end perception pipeline (training and deployment) and auto-labeling. You will quickly prototype new projects.

Role Responsibilities

• Develop ML models, training, and evaluation pipelines for vision-based flight capabilities in commercial aircraft
• Conduct rigorous evaluations of ML models, assessing effectiveness, efficiency
• 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
• Support and contribute to data mining, auto-labeling, metrics, visualization, and validation to improve, evaluate model performance, and draw insights from it
• Prototype new ML projects based on Vision and LLM/Foundation models

Qualifications

• Master's degree (or equivalent industry experience) in computer science or a related discipline
• 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, ONNX, etc.)
• Experience in deploying ML models to production
• Extensive experience in Python
• Good communication skills

Good To Have

• Passion for aviation and autonomous systems

• Experience with LLM, RL, and other emerging ML technologies
• Proficiency in C

Pay Transparency Notice: Depending on your work location and years of experience, the target annual salary for this position can range from $160,000 to $189,000 target bonus benefits (including medical, dental, vision, 401(k), and flight training).

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

Salary : $15,750