Applied Scientist II Amazon Shipping

Amazon Inc.

Hyderabad

On-site

INR 4,000,000 - 8,000,000

Full time

5 days ago
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Job summary

Amazon Inc. in Hyderabad invites an Applied Scientist II to set scientific direction, mentor teams, and deliver production-grade ML solutions at massive scale for Amazon's global transportation network.

You will lead a high-performing team, define the ML roadmap, guide model and system design across tree-based models, deep learning, LLMs, and reinforcement learning, and partner with Product, Operations, and Engineering to drive proactive decisions.

Qualifications

  • 3+ years of building models for business applications
  • PhD or Masters with 4+ years in CS/CE/ML
  • Publications or patents in top-tier venues
  • Proficiency in Java, C++, Python or similar
  • Experience in algorithms, data structures, numerical optimization, data mining, parallel/distributed computing, HPC

Responsibilities

  • Lead and mentor a team of Applied Scientists
  • Define and own the scientific vision and roadmap for ML solutions
  • Design models and systems using tree-based methods, DL (LSTMs, transformers), LLMs, and RL
  • Ensure production-ready, scalable, robust models in partnership with stakeholders
  • Own end-to-end business metrics affecting customer experience and cost
  • Contribute to ML community via publications and internal knowledge sharing

Skills

Applied science
ML
Java
C++
Python

Education

PhD
Masters + 4+ yrs CS/CE/ML

Job description

Job Description:

Description

Work on ML teams building large-scale forecasting and optimization systems that power Amazon's global transportation network and directly impact customer experience and cost.

As an Applied Scientist II, you will set scientific direction, mentor applied scientists, and partner with engineering and product leaders to deliver production-grade ML solutions at massive scale.

Key job responsibilities
  • Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
  • Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution.
  • Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
  • Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
  • Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
  • Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
A day in the life

Your day includes reviewing model performance and business metrics, guiding technical design and experimentation, mentoring scientists, and driving roadmap execution. You'll balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable. Ultimately, your work helps improve delivery reliability, reduce costs, and enhance the customer experience at massive scale.

Basic Qualifications
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

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 - Delhi

Job ID: A10537213

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