BlueSpace.ai is building the next generation of self-driving technology to create the safety certainty needed for genuinely driverless vehicles. Our patented 4D Predictive Perception enables this by calculating all objects’ motion from next-gen 4D sensors. BlueSpace.ai’s team brings experience from all over the autonomous vehicles (AV) industry, including OEMs, world-class research institutions, and autonomous driving companies.
We welcome self-driven individuals who excel under limited direction to join our award-winning team and company.
Duties and Responsibilities·
- Collaborate with the Perception autonomy team to improve, ideate, and implement perception algorithms.
- Develop multimodal machine learning models for recursive state estimation, structured and unstructured prediction, Unsupervised and Self-Supervised Autonomy, computer vision optimization, etc.
- Research and develop state-of-the-art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e.g., on and off roads, underground, and in the air; long-range and multi-sensor object detection, detection under degraded sensors, etc.).
- Develop and ship next-generation features that expand Bluespace’s operational driving domain.
- Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Qualifications and Experience
- 8+ years experience and Master's Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent.
- At least 8 years of software development experience, or 6 with an advanced degree· Strong analytical skills in linear algebra, geometry, and probability.
- Experience developing software under strong real-time performance requirements.· Excellent software engineering skills in Python and/or C++
- Extensive experience in any deep learning framework, such as PyTorch, JAX, TensorFlow
- Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence
- Experience with multimodal models
Extra Credit
- Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)
- Experience with sensor data lidar radar camera.
- Strong track record in any field related to machine learning, as evidenced by top-tier publications.
Job Type: Full-time
Pay: $125,000.00 - $200,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Compensation package:
Experience level:
Schedule:
- Day shift
- Monday to Friday
Application Question(s):
- Have you worked with multimodal models?
Experience:
- Post graduation: 8 years (Required)
Work Location: Hybrid remote in Emeryville, CA 94608