What are the responsibilities and job description for the Sr. Applied Scientist, ML, Amazon Robotics position at Amazon?
DESCRIPTION
We're seeking an experienced Senior Applied Scientist to join our Robotics team. This role entails developing machine learning solutions to bridge the gap between theoretical models and real-world robotic systems and developing learning-based control approaches. In this role, you will work across multiple teams to develop the next generation of robots which can be applied to a variety of use cases, allowing Amazon to increase productivity and efficiency while prioritizing employee safety.
Key job responsibilities
- Lead design, adapt, and implement novel machine learning solutions for manipulation robots
- Create hybrid approaches combining classical methods with learning-based solutions
- Design learning algorithms for automated parameter tuning and adaptation
- Build and test prototype robotic workcell setups to validate the performance of the solution
- Partner with cross-functional teams to rapidly create new concepts and prototypes
- Work with Amazon's robotics engineering and operations teams to grasp their requirements and develop tailored solutions
- Document the architecture, performance, and validation of the final system
A day in the life
Day in the Life Section
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6 years of applied research experience
- Experience programming in Java, C , Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with conducting research in a corporate setting
- 5 years of industry or academic research experience
- 5 years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with learning-based approaches to robot control
- Familiarity with reinforcement learning for continuous control
- Experience with sim-to-real transfer in robotics applications
- Track record of deploying ML solutions on real robotic platforms
- Strong background in robot dynamics and control
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
