BlueSpace.ai is revolutionizing the autonomous vehicle industry with their patented 4D Predictive Perception technology, which aims to increase accuracy, lower latency, and enhance safety and efficiency in autonomous driving by removing reliance on data and leveraging next-gen 4D sensors.
Requirements
- Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others).
- Production experience with Deep Learning models (training, fine-tuning, or deployment).
- Excellent software engineering skills in Python or C++.
- Strong analytical skills in linear algebra, geometry, and probability.
- Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.
- Experience building models from sensor data: lidar, radar, camera.
- Experience with multi-modal models.
Responsibilities
- Develop deep learning models for a variety of autonomy applications (relevant areas: object detection, classification, segmentation, behavior prediction, end-to-end driving).
- Research, design, improve, and implement state-of-the-art ML algorithms and deploy them onto self-driving vehicles and in datacenters.
- Identify or collect the required datasets and implement data processing pipelines.
- Deliver reliable software through continuous integration, automated testing, and code reviews.
- Address the real-world issues encountered during tests or customer deployments.
Other
- Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent. Advanced Degrees highly preferred.
- We are seeking talented, self-motivated individuals who thrive in a fast-paced, dynamic environment and are passionate about making a significant impact on the future of mobility.
- If you’re driven to tackle the most complex challenges in autonomy and push the boundaries of what is possible, we want to hear from you.
- BlueSpace.aI is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.
