about 4 hours ago
Base Salary
$162k - $175k/yr
Responsibilities
- Lead the research, development, and deployment of deep learning models for urban scene perception.
- Architect and optimize machine learning systems for scalability and efficiency.
- Develop training techniques to enhance model robustness under diverse conditions.
- Explore and integrate multi-modal foundational AI models for specific domain challenges.
- Drive innovation in model compression and efficient inference techniques.
- Collaborate with cross-functional teams to define machine learning roadmaps.
Requirements
- Master's degree in Robotics, Machine Learning, Computer Science, Electrical Engineering, or related field.
- Two years of experience in a deep learning engineer role or related positions.
- One year of experience with machine learning, deep learning, and computer vision.
- Proficiency in Python programming and relevant machine learning libraries.
- Experience with PyTorch or TensorFlow and cloud-based deployments.
- Familiarity with containerization technologies like Docker or Kubernetes.