Joby Aviation
Autonomy Senior Machine Learning Engineer
$180K–$250K
Santa Cruz, CA +1 · Senior · Full-time · Posted Oct 28, 2024
- Location
- Santa Cruz, CA
Concord, CA - Experience
- 8+ years of experience in machine learning; experience developing software and systems for autonomous vehicles.
- Education
- Degree in computer science, aerospace engineering, or related field.
About the job
Designs and develops machine-learning perception and autonomy systems that help aircraft navigate safely and autonomously.
What you'll do
- Design, train, and maintain perception models and build training and evaluation pipelines.
- Optimize real-time perception algorithms and contribute to sensor-fusion, navigation, detect-and-avoid, and autonomy software.
- Develop data-management, simulation, and analysis tools, and collaborate with the Superpilot team on integrated solutions.
What they ask for
- 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, practical knowledge of state-of-the-art real-time perception models, and deep understanding of 3D computer vision and machine learning for video.
Nice to have
- Experience deploying ML models in production using MLOps tools such as MLflow or Kubeflow.
- Experience with aircraft sensor data, ROS2 or related middleware and DDS, or C++.
Pay
$180,500 - $250,000/yr (base salary)
Tools
Python, MLflow, Kubeflow, ROS2, DDS, C++
AI focus
Develop and deploy machine-learning perception and reasoning for autonomous flight, including sensor fusion, navigation, detect-and-avoid, simulation, mapping, and advanced sensing.
Model-written summary · the original posting is authoritative