Senior Applied Scientist, Amazon

Engine AI Center of Excellence

Salary not provided
Python
Java
C++
Senior and Expert level
Berlin
Amazon

The largest online retailer and technology provider

Job no longer available

Amazon

The largest online retailer and technology provider

1001+ employees

B2CB2BMarketplaceCloud ComputingeCommerce

Job no longer available

Salary not provided
Python
Java
C++
Senior and Expert level
Berlin

1001+ employees

B2CB2BMarketplaceCloud ComputingeCommerce

Company mission

To be Earth's most customer-centric company.

Role

Who you are

  • PhD degree in Computer Science or related field
  • Several years experience building machine learning models for business applications using Python, Java, C++ or related language
  • Documented expertise in machine learning/artificial intelligence: data processing, neural networks, deep learning, estimators, regression, information theory, optimization, statistical analysis, signal processing, graph mining, causality analysis
  • Experience with patents or scientific publications at peer-reviewed conferences or journals and generally excellent writing and communication skills

Desirable

  • Experience in any of the following or similar areas: anomaly detection, time series analysis, LLM-agents, correlation analysis, causality modelling, graph modelling, probabilistic modelling, nlp, text mining
  • Experience in data-driven and automated fault/incident management and service reliability systems at scale
  • Experience with machine learning frameworks, distributed storage systems, or data processing frameworks, and data visualization tools
  • Experience in designing and developing large, scalable production systems and architectures
  • Project leader and/or team lead experience

What the job involves

  • As a Sr. Applied Scientist of the Engine AICE team, you have the important role of mapping business challenges to high-impact solutions in areas where the business problem or opportunity may not yet be defined
  • You turn theoretically sound methods into practically applicable models designed for processing massive volumes of data in large-scale environments
  • You define business relevant solutions implemented as end-to-end machine learning functions and data processing pipelines that integrate with our partners production systems
  • In a fast-paced innovation environment, you advise and work closely with our Applied Scientists, Machine Learning Engineers, Software Development Engineers, and partner teams to design machine learning models and experiments at scale
  • You are recognized for your expertise in all aspects of the practical machine learning development cycle, encompassing sound use of data pre-processing techniques, analysis, modelling, and validation methods
  • You take lead of the scientific and technical work in cross-team collaborations
  • We work back to back to address the technical challenges of automation across a variety of products, software, and systems
  • Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills
  • Together, we are a diverse team of specialists that bring the potential of practical machine learning to the max with impact on millions of Amazon customers

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Insights

16% employee growth in 12 months

Company

Our take

Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.

More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.

Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.

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Steph

Company Specialist at Welcome to the Jungle