Sr Applied Scientist

Amazon; Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A leading company in technology is seeking a Sr Applied Scientist to leverage the latest research trends for innovative applications. The role involves designing and developing algorithms for robotics and machine learning, working alongside multidisciplinary teams to solve complex problems. A strong academic background and expertise in programming are critical for success in this position.

Qualifikationen

• PhD required in a related field.
• Programming skills in C++, C#, Python.
• Experience in robotics, computer vision, and AI.

Aufgaben

• Research, design, implement, and evaluate algorithms.
• Create experiments and prototypes of new learning algorithms.
• Collaborate with engineering teams for implementation.

Kenntnisse

Computer vision

Machine learning

Programming

Problem solving

Ausbildung

PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics

Jobbeschreibung

Seeking an experienced Sr Applied Scientist! In this role, you will apply the latest research trends to solve real-world problems. You will collaborate with a team of scientists and engineers to build innovative applications. We are looking for scientists interested in using diverse domain expertise to invent, design, and implement state-of-the-art solutions for unprecedented challenges.

Key job responsibilities

1. Research, design, implement, and evaluate complex perception, motion planning, and decision-making algorithms integrating multiple disciplines and leveraging machine learning.
2. Create experiments and prototype implementations of new learning algorithms and prediction techniques.
3. Work closely with software engineering teams to develop scalable, real-time implementations.
4. Collaborate with machine learning and robotic controls experts to deploy algorithms, including machine learning models.
5. Partner with hardware engineering teams from prototyping to production.
6. Represent Amazon in academia through publications and scientific presentations.
7. Engage with stakeholders across hardware, science, and operations teams to refine system design and implementation.

Preferred expertise

• Computer vision (tracking, object recognition, visual SLAM, motion prediction, reconstruction)
• Machine learning (reinforcement learning, supervised learning, Bayesian methods, online learning, ML for robotics)

Qualifications

• PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics, or related fields.
• Proficiency in programming languages such as C++, C#, Python.
• Experience in robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation.
• Extensive experience with hardware and robot simulators.
• Experience in publishing at major conferences or journals in related fields.
• Proven ability to develop and deploy AI systems in manufacturing automation.
• Strong communication skills, capable of explaining technical concepts clearly.
• Experience mentoring or leading junior engineers.
• Experience in interdisciplinary development involving hardware, software, and algorithms.
• Proven track record in turning ideas into production-ready technology.
• Knowledge of core computer science concepts and algorithms.
• Critical thinking and excellent presentation skills.

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