A CUBED
Senior AI Data Engineer
A CUBED, Sunnyvale, California, United States, 94087
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 Data Engineer, you will own parts of AI/Data pipelines with a focus on improving data understanding, quality and efficiency including auto-labeling. You will quickly prototype new projects, and take the promising ones to production.
Role ResponsibilitiesImprove data distribution and quality understanding for ML models, training, and evaluation pipelines for vision-based flight capabilities in commercial aircraftDevelop ML models and pipelines utilizing foundation models like VLMs to auto label data.Conduct rigorous evaluations of data and labeling quality, assessing effectiveness, efficiency of training and accuracy and coverage of testingContribute to data mining/active learning, metrics, visualization, and validation to improve, evaluate data pipelinesWrite high quality, product level code that is easy to maintain and test following standard methodologiesCollaborate with multiple teams (Data/Labeling, Validation), and ML teams in the global Airbus OrganizationQualifications
Master's degree (or equivalent industry experience) in computer science or a related discipline7 or more years of relevant experience5+ years of industry experience working as a CV/ML perception software engineer in the field of autonomous vehicles, robotics, or related fieldsExperience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.)Experience in data auto labeling and active learning pipelines for productionExtensive experience in PythonGood communication skillsGood To Have
Passion for aviation and autonomous systemsExperience with LLM/VLM, OpenVocabulary Vision models, RL, and other emerging ML technologiesExperience 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, plus a target bonus and a comprehensive benefits package including health insurance, 401(k), and flight training. Your exact compensation will be determined by your location and experience.
Why Join Us?Be a part of a dynamic team that values creativity, collaboration, and innovation. At Acubed, your contributions will directly impact our digital future. We welcome diverse perspectives and are committed to fostering an inclusive environment.
* Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
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 Data Engineer, you will own parts of AI/Data pipelines with a focus on improving data understanding, quality and efficiency including auto-labeling. You will quickly prototype new projects, and take the promising ones to production.
Role ResponsibilitiesImprove data distribution and quality understanding for ML models, training, and evaluation pipelines for vision-based flight capabilities in commercial aircraftDevelop ML models and pipelines utilizing foundation models like VLMs to auto label data.Conduct rigorous evaluations of data and labeling quality, assessing effectiveness, efficiency of training and accuracy and coverage of testingContribute to data mining/active learning, metrics, visualization, and validation to improve, evaluate data pipelinesWrite high quality, product level code that is easy to maintain and test following standard methodologiesCollaborate with multiple teams (Data/Labeling, Validation), and ML teams in the global Airbus OrganizationQualifications
Master's degree (or equivalent industry experience) in computer science or a related discipline7 or more years of relevant experience5+ years of industry experience working as a CV/ML perception software engineer in the field of autonomous vehicles, robotics, or related fieldsExperience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.)Experience in data auto labeling and active learning pipelines for productionExtensive experience in PythonGood communication skillsGood To Have
Passion for aviation and autonomous systemsExperience with LLM/VLM, OpenVocabulary Vision models, RL, and other emerging ML technologiesExperience 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, plus a target bonus and a comprehensive benefits package including health insurance, 401(k), and flight training. Your exact compensation will be determined by your location and experience.
Why Join Us?Be a part of a dynamic team that values creativity, collaboration, and innovation. At Acubed, your contributions will directly impact our digital future. We welcome diverse perspectives and are committed to fostering an inclusive environment.
* Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.