Applied Scientist, Amazon Autos

Amazon

Gurugram District

On-site

INR 1,400,000 - 1,800,000

Full time

14 days+

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Job summary

Join Amazon as an Applied Scientist in the Amazon Autos team. You'll innovate automotive discovery and shopping experiences through advanced machine learning models, collaborate with cross-functional teams, and implement scalable science solutions. This role requires a Master's degree and expertise in ML, programming, and an entrepreneurial mindset.

Qualifications

  • Professional experience in programming and machine learning.
  • Advanced skills in predictive modeling and generative AI.
  • Publications in peer-reviewed journals preferred.

Responsibilities

  • Shape the roadmap for applying science in customer problem-solving.
  • Drive innovative solutions using machine learning techniques.
  • Collaborate with cross-functional teams and communicate complex concepts.

Skills

Java
C++
Python
SQL
Machine Learning
Generative AI
Predictive Modeling

Education

Master's degree in computer science, machine learning, or engineering

Job description

Join to apply for the Applied Scientist, Amazon Autos role at Amazon

Join to apply for the Applied Scientist, Amazon Autos role at Amazon

Description

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience.

Description

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience.

This is an opportunity to be part of the Amazon's new business ventures. Our goal is to create innovative automotive discovery and shopping experiences on Amazon, providing customers with greater convenience and a wider selection.

You'll work in a creative, fast-paced, and entrepreneurial environment at the center of Amazon's innovation. As a key member, you'll play a pivotal role in helping us achieve our mission. We are looking for a highly accomplished Applied Science professional drive our science strategy, foster a culture of data-driven decision-making, and drive impactful business outcomes through advanced state-of-the-art science methodologies.

If you're enthusiastic about innovating and delivering exceptional shopping experiences to customers, thrive on new challenges, and excel at solving complex problems using top-notch ML models, LLM and GenAI techniques, then you're the perfect candidate for this role. Strong business acumen and interpersonal skills are a must, as you'll work closely with business owners to understand customer needs and design scalable solutions.

Join us on this exhilarating journey and be part of redefining the vehicle shopping experience.

Key job responsibilities

As An Applied Scientist In Amazon Autos, You Will

  • Shape the roadmap and strategy for applying science to solve customer problems in the Amazon AutoStore domain.
  • Drive big picture innovations with clear roadmaps for intermediate delivery.
  • Apply your skills in areas such as deep learning and reinforcement learning while building scalable solutions for business problems.
  • Produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput.
  • Utilize your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation.
  • Interface with business customers, gathering requirements and delivering science solutions.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
  • Effectively communicate complicated machine learning concepts to multiple partners.
  • Research new and innovative machine learning approaches.

A day in the life

In this role, you will be part of a multidisciplinary team working on one of Amazon's newest business ventures. As a key member, you will collaborate closely with engineering, product, design, operations, and business development to bring innovative solutions to customers.

Your science expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. You'll invent and apply state-of-the-art technologies, such as large language models, machine learning, NLP, and computer vision, to build next-generation solutions for Amazon.

You'll publish papers, file patents, and work closely with engineers to bring your ideas to production.

About The Team

This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We’re collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online.

Basic Qualifications

  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Master's degree or above in computer science, machine learning, engineering, or related fields

Preferred Qualifications

  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI - Haryana

Job ID: A2995862

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Science, and Engineering
  • Industries
    Software Development

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