DESCRIPTION The Research Team at Amazon Robotics is seeking a passionate Applied Scientist, with a strong track record of industrial research, innovation leadership, and technology transfer, with a focus on ML Applications.
At Amazon Robotics, we apply cutting edge advancements in robotics, software development, Big Data, ML and AI to solve real-world challenges that will transform our customers' experiences in ways we can't even imagine yet. We operate hundreds of buildings that employ hundreds of thousands of robots teaming up to perform sophisticated, large-scale missions. There are a lot of exciting opportunities ahead of us that can be unlocked by scientific research. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.
As you could imagine, data is at the heart of our innovation. This role will be participating in creating the ML and AI roadmap, leading science initiatives, and shipping ML products.
Key job responsibilities
You will be responsible for:
- Thinking Big and ideating with Data Science team, other Science teams, and stakeholders across the organization to co-create the ML roadmap.
- Collaborating with customers and cross-functional stakeholder teams to help the team identify, disambiguate, and define key problems.
- Independently innovating, creating, and iterating ML solutions for given business problems. Especially, using techniques such as Computer Vision, Deep Learning, Causal Inference, etc.
- Collaborating with other Science, Tech, Ops, and Business leaders to ship and iterate ML products.
- Promoting best practices and mentoring junior team members on problem solving and communication.
- Leading state-of-the-art research work and pursuing internal/external scientific publications.
A day in the life
You will co-create ML/AI roadmap. You will help team identify business opportunities. You will prototype, iterate ML/AI solutions. You will drive communication with stakeholders to implement and ship ML solutions. e.g., computer vision, deep learning, explainable AI, causal inference, reinforcement learning, etc. You will mentor and guide junior team members in delivering projects and business impact. You will work with the team and lead scientific publications.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. 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!
About the team
You will join a scientifically and demographically diverse research/science team. Our multi-disciplinary team includes scientists with backgrounds in planning/scheduling, grasping/manipulation, machine learning, statistical analysis, and operations research. We develop novel algorithms and machine learning models and apply them to real-word robotic warehouses, including:
- Planning/coordinating the paths of thousands of robtos
- Dynamic task allocation to thousands of robots.
- Learning how to manipulate products sold by Amazon.
- Co-designing an optimizing robotic logistics processes.
Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. In addition, we coordinate research engagements with academia.
We are open to hiring candidates to work out of one of the following locations:
Westborough, MA, USA BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
