About this opportunity
DataJobs lists this Machine Learning Engineer, Advertising & Marketing Performance Intelligence opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
On Amazon’s Advertising & Marketing Performance Intelligence (AMPI) team, you will design, deploy, and scale production-grade machine learning and GenAI solutions that support automated decision-making and personalized marketing communications. This onsite role in Seattle pairs ML engineering with infrastructure work, spanning large-scale training systems, monitoring, and cost-aware AI/ML operations.
What you’ll do
Work with Data and Applied Scientists to process structured and unstructured data, scaling ML and LLM infrastructure while optimizing infrastructure costs , GPU utilization , memory management , and production training workflows (including techniques such as optimizer state offloading and massive parallelization).
Build and deliver reusable technical assets that enable faster adoption of ML, optimization, and GenAI across different science initiatives.
Design and maintain production-grade, large-scale distributed training systems for ML, Causal, GenAI, and multi-modal foundation model workloads.
Optimize AWS AI/ML infrastructure for training efficiency, including GPU utilization, latency, costs, and fine-tuning on massive datasets.
Create monitoring and debugging tooling to improve reliability and performance of training workflows, including support for piloting LLMs and diagnosing system issues.
Partner with Engineers, Data, and Applied Scientists to evaluate design approaches, prototype new GenAI and ML models, assess technical feasibility, and resolve complex problems.
Basic qualifications
3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
Experience programming with at least one software programming language.
Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
Technologies you may work with
Machine Learning, large language models (LLMs), and large quantitative models (LQMs)
AI/ML workflows
AWS Bedrock, SageMaker
Agentic AI (RAG, agentic architectures, vector databases), Amazon Q
Containerized deployments, Hugging Face, LangChain
Guardrail implementations
Foundational models such as Qwen, Anthropic’s Claude, Mistral
RCTs
Compensation and location
Location: Seattle, WA (onsite)
Salary: USD 143,700 - 194,400 per year
Benefits
Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, with option for Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Preferred qualifications
3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Bachelor’s degree in computer science or equivalent.
1+ year building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.