1 day ago
Base Salary
$150k - $300k/yr
Responsibilities
- Drive independent research initiatives in robotics foundation models, perception, manipulation, multimodal learning, sim2real transfer, and related areas.
- Design and implement novel deep learning architectures, algorithms, and efficient model inference systems.
- Lead robotics projects from conceptualization through deployment, integrating hardware considerations with algorithmic development.
- Collaborate with platform, hardware, robotics, and research teams to scale and deploy models in real-world environments.
- Contribute to technical strategy and next-generation robotics research.
- Prototype and evaluate models at scale using Amazon’s compute cluster and robotics infrastructure.
Requirements
- PhD, or a master’s degree plus 4+ years of experience in computer science, computer engineering, machine learning, or a related field.
- Experience with Java, C++, Python, or a related programming language.
- Experience applying theoretical models in applied environments and building machine learning models or algorithms for business applications.
- Experience developing and implementing deep learning models.
- Experience with patents or publications in top-tier peer-reviewed conferences or journals.
- A track record of solving complex technical problems.
- Preferred: Unix/Linux, professional software development, foundation models or large language models, robotics, computer vision, sim2real transfer, multi-task learning, distributed training, production ML deployment, large-scale robotic systems, Python, PyTorch, and JAX.
Benefits
- Base pay ranges from $150,000/year to $300,000/year depending on U.S. geographic market.
- Equity, sign-on payments, and other compensation may be included depending on the position offered.
- Medical, financial, and other employee benefits are available.
- Work location or arrangement is not specified.
