Sr. Software Development Engineer, MLOPs

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$168K-$227K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

70% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Software Development Engineer, MLOPs Bellevue, Washington, USA We are looking for a Senior Software Development Engineer with deep expertise in machine learning operations to join the Data & Intelligence Foundation (DIF) team within Amazon. You will design, build, and operate the ML training infrastructure that enables robot learning at scale - from distributed GPU training pipelines to experiment tracking, data management, and model deployment. Our team is building the foundational ML platform that powers autonomous robotics across Amazon's fulfillment network. You'll work at the intersection of large-scale distributed systems and cutting-edge ML research, turning novel vision-language-action models into production training workflows. Key job responsibilities - Design and implement scalable ML training infrastructure on Kubernetes (EKS) with GPU scheduling and fault-tolerant distributed training - Build and maintain CI/CD pipelines for ML models - from data ingestion through training, evaluation, and deployment - Develop tooling for experiment tracking, hyperparameter optimization, and reproducibility - Architect data pipelines that handle large-scale robotics datasets (telemetry, sensor recordings, demonstrations) - Collaborate with research scientists to operationalize novel ML models into production - Establish monitoring, alerting, and observability for training workloads and model performance - Drive best practices for GPU fleet management, cost optimization, and capacity planning A day in the life You'll spend your mornings reviewing training job health across our GPU cluster, debugging a distributed training run that hit a node failure overnight, and shipping a fix to our checkpoint recovery system. After lunch, you'll pair with a research scientist to optimize their new

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.