Autonomy Senior Machine Learning Engineer

Joby Aviation is hiring an Autonomy Senior Machine Learning Engineer onsite in Santa Cruz, CA to advance the Superpilot autonomy stack with perception and reasoning capabilities.

Responsibilities

• Design, train, and maintain state-of-the-art machine learning models for perception on autonomous aircraft
• Develop perception capabilities that integrate deep learning with 3D computer vision for sensor fusion, navigation, and detect-and-avoid
• Create high-performance model training pipelines and extensive evaluation systems to support reliability and quality
• Optimize and tune real-time AI perception algorithms for autonomous flight
• Support software development for data management, annotation, and curation
• Contribute to autonomy modeling, simulation, and analysis software tooling
• Collaborate with the Superpilot team to ideate, plan, and execute high-quality, well-integrated autonomy features
• Monitor system health and performance, proactively address issues, and provide user support

Requirements

• Degree in computer science, aerospace engineering, or a related field
• 8+ years of experience in machine learning
• Experience developing software and systems for autonomous vehicles
• Strong proficiency in Python
• Extensive practical knowledge of state-of-the-art models for real-time perception
• Deep understanding of 3D computer vision and machine learning for video
• Ability to invent and prototype technical solutions for autonomy
• Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps
• Advocate for software best practices, including rigorous code reviews and mentorship
• Excellent communication skills for cross-functional collaboration

Technologies

• Python
• MLflow
• Kubeflow
• ROS2
• DDS
• C++
• GPS
• Inertial
• ADS-B
• Air data
• Radio data

Compensation

• USD 180,500 - 250,000 per year
• Location: Santa Cruz, CA (onsite)

Benefits

• Paid time off
• Healthcare benefits
• 401(k) plan with a company match
• Employee stock purchase plan (ESPP)
• Short-term and long-term disability coverage
• Life insurance

Desired

• Expert-level software engineering for architecting and writing clean, scalable, maintainable code
• Professional software development experience with multi-disciplinary teams in aerospace autonomy
• Experience in autonomous vehicle software development
• Experience deploying ML models in production using modern MLOps principles and tools (e.g., MLflow, Kubeflow)
• Experience processing aircraft sensor data including GPS, inertial, ADS-B, air data, and radio data
• Experience with ROS2 or related middleware and DDS systems
• Competence in C++