Senior ML Studio Engineer for SageMaker AI

Amazon

Santa Clara (CA)

On-site

USD 193,000 - 262,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
RSUs
Sign-on bonus
Paid time off
Parental leave

Job summary

Amazon is seeking a Senior Software Development Engineer to join the SageMaker AI Studio team. You will own the design and delivery of large-scale, highly available distributed systems powering ML development experiences.

You will drive technical vision, influence product direction, and mentor engineers while working at the intersection of cloud infrastructure, developer tooling, and AI/ML.

Qualifications

  • 7+ years of professional software development experience.
  • 5+ years designing and building large-scale distributed systems.
  • Proficiency in Java, Python, TypeScript, or Go.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent).
  • Master's or PhD in CS or related field is preferred.

Responsibilities

  • Lead architecture, design, and implementation of complex software systems.
  • Own end-to-end delivery of large-scale distributed services with high availability and low latency.
  • Collaborate with product, science, and partner engineering teams to define roadmaps and deliver solutions.
  • Mentor engineers, conduct design and code reviews, raise technical and operational standards.
  • Champion CI/CD, observability, testing, and incident management; drive ownership and accountability.
  • Identify opportunities to simplify and automate developer experiences; contribute to open-source where appropriate.

Skills

Java
Python
TypeScript
Go
Distributed systems
CI/CD

Education

Bachelor's degree in Computer Science, Engineering, or related field
Master's or PhD in CS or related field

Job description

Amazon is seeking a Senior Software Development Engineer to join the SageMaker AI Studio team. You will own the design and delivery of large-scale, highly available distributed systems powering ML development experiences.

You will drive technical vision, influence product direction, and mentor engineers while working at the intersection of cloud infrastructure, developer tooling, and AI/ML.

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