Sr Applied Scientist - Amazon Astro, Amazon Astro

Amazon Science
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Job Description

Excited about robotics, and how it will be used in our every day lives? The Amazon Consumer Robotics group is pushing the boundaries of what’s possible, making the future closer than ever.

Astro is Amazon’s first household robot to use AI and Intelligent Motion to gracefully and intuitively interact with people and spaces. It is a different kind of robot, one that’s designed to help customers with a range of tasks like home monitoring and keeping in touch with family. It brings together new advancements in artificial intelligence, computer vision, sensor technology, voice and edge computing in a package that’s designed to be helpful and convenient.

The Role:

“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard Hamming

We have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in.

We are a smart team of doers that work passionately to apply cutting-edge advances in robotics to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. Key responsibilities will be to understand the state of the art, conduct research and develop algorithms by collaborating with cross-functional engineering teams including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use data to train and test algorithms to bring them up to production level quality.

If this describes you, come join our team at Lab126 in the heart of Silicon Valley. The team is using probabilistic modeling, machine learning, real-time and distributed systems to convert requirements into concrete deliverables. A researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.

Key job responsibilities

If you join us, your opportunities will include:

  • Work on ambiguous problem areas and help formulate the problem statement
  • Research, design, implement and evaluate novel algorithms
  • Collaborate closely with team members on developing systems from prototype to production
  • Work closely with partner engineering teams to drive scalable implementations that can be leveraged by high value customer features


  • PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Experience programming in Java, C++, Python or related language


  • Proven track record of innovation in developing novel algorithms and advancing the state of the art
  • Experience applying classical machine learning, deep learning and statistical modeling to real world problems.
  • Experience developing algorithms for prediction or anomaly detection problems
  • Experience investigating, designing, prototyping, and delivering new and innovative system solutions
  • Excellent written and verbal communication skills, ability to communicate effectively to both technical and non-technical audiences
  • Comfortable working in a fast paced, highly collaborative, dynamic work environment

Company Info.

Amazon Science

Amazon Science examines the company’s approach to scientific innovation. Amazon believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.

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Amazon Science is currently hiring Senior Applied Scientist Jobs in Sunnyvale, CA, USA with average base salary of $120,000 - $190,000 / Year.

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