Software Development Engineer (AWS ML), Machine Learning Israel (MLIL) — FLOW sub-team (Fleet Lifecycle & Operational Workflows)AI

Amazon

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Company: Amazon
Location: Tel Aviv
Office: HQ · 121 Menachem Begin Rd, Tel Aviv-Yafo, Israel
Field: Data Science, ML & Algorithms
Role: ML Engineer
Type: Full Time
Level: Mid
Experience: 3+ yrs
Education: Bachelor
Posted: 26 Jul 2026

Seniority was normalized from the source posting. The posting date comes from source metadata.

Location

About Amazon

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Skills & technologies

AWS
Agile
CI/CD
EC2
ETL
Grafana
Linux
Machine Learning
Rust
Spark

Description

Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen...

Requirements

3+ years of software development engineer or related occupational experience - Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or a related discipline or equivalent - Experience using Linux, demonstrating proficiency with associated tools or languages - Can work proactively and independently, meet deadlines, and deliver on projects and tasks - Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations - Experience building monitoring dashboards and data visualization (Grafana, CloudWatch, QuickSight, or similar) - Experience with data pipelines, ETL, or analytics (S3, Athena, Spark, or similar) - Experience with systems programming languages (C, C++, Rust) - Familiarity with computer architecture concepts (PCIe, memory hierarchy, power management) - Advantage: experience with hardware bring-up, ASIC/FPGA validation, or manufacturing test 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.

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