Machine Learning Engineer: Perception and Planning at BlueSpace.ai

At BlueSpace.ai, we are transforming the autonomous vehicle landscape through our innovative self-driving technology. Our team has moved beyond traditional software approaches by developing patented 4D Predictive Perception, which eliminates the need for massive data reliance. By utilizing next-generation 4D sensors, we achieve precise motion prediction for all objects, which significantly reduces latency and enhances safety standards. Our staff includes experts from top research institutions, major OEMs, and leading autonomous driving firms. Having successfully launched services in California, Texas, and Florida, we are now looking for a Senior Machine Learning Engineer to join our team in a full-time, hybrid capacity within the United States.

Key outcomes

• Design, research, and implement advanced machine learning algorithms for deployment on both self-driving vehicles and datacenter infrastructure.
• Create deep learning models focused on autonomy applications, including object detection, segmentation, classification, and behavior prediction.
• Build and manage data processing pipelines while identifying the necessary datasets for model training.
• Maintain high software standards by participating in code reviews, automated testing, and continuous integration processes.
• Troubleshoot and resolve technical challenges that arise during customer deployments or real-world vehicle testing.

Requirements

• A Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
• Proven professional experience in machine learning engineering, specifically with computer vision models or other complex applications like LLMs.
• Practical experience training, fine-tuning, and deploying deep learning models in production environments.
• Strong proficiency in software engineering using Python or C++.
• A solid analytical foundation in probability, geometry, and linear algebra.
• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

Preferred qualifications

• Industry experience working with robotics, autonomy, or self-driving vehicle systems, particularly regarding low-latency requirements.
• Background in building models using sensor data from radar, lidar, or cameras.
• Experience developing multi-modal models.
• A strong academic history, potentially supported by publications in machine learning.
• Expertise in model optimization and conversion for production, such as using TensorRT or ONNX, or deploying models on specialized hardware like Jetson.
• Leadership potential to guide the machine learning team as we continue to grow.

Compensation

This position offers a hybrid work environment, allowing for flexibility between remote and in-office collaboration.

How to apply

We invite you to join our mission to redefine the future of mobility. If you are a motivated engineer eager to solve complex problems in the autonomous space, please submit your application for consideration. BlueSpace.ai is an equal opportunity employer, and we welcome applicants from all backgrounds.