Amazon Applied Science Manager Amazon Robotics 

United States, Washington, Seattle 

619368644

Key job responsibilities
* As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at amazon robotics.
* You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
* You will keep your technical skills current to contribute to architecture and design discussions.
* You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.
* Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.A day in the life
- Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.- Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems.- Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- PhD, or Master's degree and 4+ years of industry or academic research experience
- 6+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Strong understanding of computer vision and machine learning (classical, deep neural networks and foundation models)