Senior Applied Scientist, Leo Satellite Build Intelligence

Amazon Inc

Quick summary

Work type
On-site
Location
El Segundo, CALONG BEACH, CABellevue, WA
Salary
$167,100–$226,100 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k
This role $197k
$133k most similar roles pay here $236k

This role pays more than 85% of similar roles. Most pay $149,887–$193,000 — the shaded band above. At the midpoint, this role pays about $197k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 321 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 304 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist, Leo Satellite Build Intelligence

As a Senior Applied Scientist at Amazon Kuiper Manufacturing Enterprises LLC, you will join the Leo Intelligence Technologies team to develop advanced machine learning models that enhance satellite manufacturing efficiency and quality. Your daily tasks include designing, training, and deploying complex models using large-scale datasets to solve ambiguous real-world problems in manufacturing. You will work closely with engineering teams to integrate these models into production systems, ensuring they are robust and continuously improving through feedback loops. Key skills required include expertise in Python or related languages, experience with deep learning methods, and a strong background in statistical analysis and model evaluation. Ideal candidates have additional experience with LLM-based systems, retrieval-augmented generation, and closed-loop ML systems, as well as a track record of influencing scientific direction and mentoring others. This role demands a high level of rigor and production readiness, particularly in the context of aerospace manufacturing where AI outputs directly impact physical outcomes.

What you'll do

  • Lead the design, training, and deployment of machine learning models for satellite manufacturing.
  • Translate real-world manufacturing problems into scientific approaches with clear evaluation criteria.
  • Train and fine-tune models using large-scale, noisy datasets with incomplete ground truth.
  • Develop closed-loop learning systems where model outputs influence manufacturing decisions.
  • Define robust evaluation frameworks to capture real-world failure modes and decision risks.

What we're looking for

  • PhD or Master's degree with at least 6 years of applied research experience.
  • Expertise in building machine learning models for business applications.
  • Proficiency in programming languages such as Java, C++, Python.
  • Experience training and evaluating ML models on large-scale real-world datasets.
  • Ability to apply statistical analysis and experimentation to improve model performance.
  • Strong background in deploying machine learning models into production systems.
  • Experience working closely with engineering teams to integrate AI solutions.

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