Senior Applied Scientist, Ops. Integration:
vor 7 Monaten
BQ
- Masters in Computer Science, Machine Learning, Robotics or equivalent with a focus on
Computer Vision.
- Broad knowledge of fundamentals and state of the art in computer vision and
machine learning
- Strong coding skills in two or more programming languages such as Python or C/C++
- Knowledge of fundamentals in optimization, supervised and reinforcement learning
- Excellent problem-solving ability
**Ops Integration**: Concessions team is looking for a motivated, creative and customer
obsessed Snr. Applied Scientist with a strong machine learning background, to develop
advanced analytics models (Computer Vision, LLMs, etc.) that improve customer
experiences
We are the voice of the customer in Amazon’s operations, and we take that role very
seriously. If you join this team, you will be a key contributor to delivering the Factory of the
**Future**: leveraging Internet of Things (IoT) and advanced analytics to drive tangible,
operational change on the ground. You will collaborate with a wide range of stakeholders
(You will partner with Research and Applied Scientists, SDEs, Technical Program Managers,
Product Managers and Business Leaders) across the business to develop and refine new ways of assessing challenges within Amazon operations. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver business change at scale and efficiently
practical implementations of vision techniques for task automation. They will be a motivated
self-starter who can thrive in a fast-paced environment. They will be passionate about
staying current with sensing technologies and algorithms in the broader machine vision
industry. They will enjoy working in a multi-disciplinary team of engineers, scientists and
business leaders. They will seek to understand processes behind data so their
recommendations are grounded.
Key job responsibilities
Your solutions will drive new system capabilities with global impact. You will design highly
scalable, large enterprise software solutions involving computer vision. You will develop
complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development.
**Common tasks include**:
- Research, design, implement and evaluate complex perception and decision making
algorithms integrating across multiple disciplines
- Work closely with software engineering teams to drive scalable, real-time implementations
- Collaborate closely with team members on developing systems from prototyping to
production level
- Collaborate with teams spread all over the world
- Track general business activity and provide clear, compelling management reports on a regular basis
Munich, BE, DEU | Munich, BY, DEU | Munich, DEU
- PhD and 4+ years of industry or academic applied research experience applying
Computer Vision techniques and developing Computer vision algorithms
- Depth and breadth in state-of-the-art computer vision and machine learning technologies and experience designing and building computer vision solutions
- Experience developing software interfacing to AWS services
- Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
- Ability to work on a diverse team or with a diverse range of coworkers
- Experience in publishing at major Computer Vision, ML or Robotics conferences or Journals (CVPR, ICCV, ECCV, NeurIPS, ICML, IJCV, ICRA, IROS, RSS,...)
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