ML Engineer – Production AI & Scalable Systems

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 143,700 - 194,400

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC in Seattle, WA is seeking a Machine Learning Engineer to bridge state-of-the-art research with customer-facing products. You will deliver production-ready ML solutions, transform research code into scalable systems, and own end-to-end deployments at scale.

Join a fast-moving team in Applied AI Solutions, mentored by senior engineers, and help build turnkey AI products with strong operations and design practices.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years in design or architecture of scalable systems.
  • 1+ years of software development engineer or related experience.
  • 1+ years designing and developing large-scale multi-tiered distributed software applications and services using C#, C++, Java, or Perl.
  • 1+ years of Object Oriented Design experience.
  • Bachelor’s degree or foreign equivalent in CS/Engineering/Math.
  • Experience programming with at least one software language.

Responsibilities

  • Transform research code into robust, scalable production systems with cross-functional teams.
  • Own end-to-end deployment at scale of Generative AI and ML methods.
  • Establish scalable, automated processes for large-scale data analysis, model development, validation and serving.
  • Research and implement innovative approaches for efficient model deployment, training, and optimization.
  • Document processes for technical and non-technical audiences and share best practices.
  • Contribute to code reviews and maintain high engineering standards.
  • Mentor junior engineers and participate in recruiting top talent.

Skills

Software development
Design/Architecture
OO Design
C++, Java, C#
Distributed systems
Programming languages

Education

Bachelor's degree in CS/Engineering/Math
Foreign equivalent acceptable

Job description

Amazon.com Services LLC in Seattle, WA is seeking a Machine Learning Engineer to bridge state-of-the-art research with customer-facing products. You will deliver production-ready ML solutions, transform research code into scalable systems, and own end-to-end deployments at scale.

Join a fast-moving team in Applied AI Solutions, mentored by senior engineers, and help build turnkey AI products with strong operations and design practices.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

ML Engineer: Production-Scale Generative AI Systems
ML Engineer: Production-Scale Generative AI Systems

Amazon • Seattle (WA)

On-site
USD 143,700 - 194,400
Health insurance
401(k) matching
Paid time off
+1
Lead ML/AI Production Systems Manager
Lead ML/AI Production Systems Manager

Amazon • Seattle (WA)

On-site
USD 185,000 - 250,000
Health insurance
401(k) matching
Paid time off
+1
ML Engineer, Infrastructure at Scale
ML Engineer, Infrastructure at Scale

Socket.dev • Austin (TX)

On-site
USD 143,000 - 195,000
Senior ML Engineer: AI at Scale & Platform Innovation
Senior ML Engineer: AI at Scale & Platform Innovation

Socket.dev • Seattle (WA)

On-site
USD 168,000 - 228,000
Health insurance
RSUs
401(k) matching
+3
Production ML Engineer - Scalable AI Systems (Hybrid, DC)
Production ML Engineer - Scalable AI Systems (Hybrid, DC)

AI Squared • Washington

Hybrid
USD 150,000 - 190,000
Software Development Engineer: AI, ML & Cloud Data
Software Development Engineer: AI, ML & Cloud Data

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 144,000 - 194,000
Health insurance
401(k) matching
Paid time off
+1
Staff ML Systems Engineer — Production-Scale AI & Leadership
Staff ML Systems Engineer — Production-Scale AI & Leadership

European Recruitment BV • United States

On-site
USD 180,000 - 280,000
Applied Scientist - ML/AI Systems for Production
Applied Scientist - ML/AI Systems for Production

Amazon • Seattle (WA)

On-site
USD 142,000 - 194,000
Health insurance
401(k) matching
Paid time off
+1
ML Web Architect: Build Scalable AI Apps on AWS
ML Web Architect: Build Scalable AI Apps on AWS

Bloomberg Industry Group • Virginia (MN)

On-site
USD 110,000 - 140,000
Lead ML Engineer - Scalable AI Systems
Lead ML Engineer - Scalable AI Systems

Meta • Seattle (WA)

On-site
USD 183,000 - 257,000
Bonus
Equity
Benefits