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Today

Machine Learning Engineer, Advertising & Marketing Performance Intelligence

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$144k - $194k/yr Full time Marketing Agentic Ai Ai Agent

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Job Description

Build production-grade ML and GenAI systems for advertising and marketing performance intelligence on Amazon’s AMPI team. This onsite role in Seattle pairs hands-on infrastructure work with automated decision-making and personalized marketing communications, with a package that includes sign-on payments, RSUs, comprehensive health coverage, 401(k) matching, paid time off, and parental leave.

What you’ll do

Work with Data and Applied Scientists to process structured and unstructured inputs, scaling ML and LLM infrastructure while optimizing infra costs, GPU utilization, memory management, and training workflows for production environments.
Create and deliver reusable technical assets that help accelerate adoption of ML, Optimization, and GenAI across science initiatives.
Design and maintain production-grade, large-scale distributed training systems supporting ML, Causal, GenAI, and multi-modal foundation models.
Optimize AWS AI/ML infrastructure for efficient model training, balancing latency, costs, and fine-tuning on massive datasets.
Develop robust monitoring and debugging tools to improve reliability and performance of training workflows, support LLM piloting, and identify system issues.
Collaborate with Engineers and Data and Applied Scientists to investigate design approaches, prototype new GenAI and ML models, evaluate technical feasibility, and resolve complex problems.

Requirements

3+ years of non-internship professional software development experience
2+ years of non-internship experience designing or architecting new and existing systems (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

Tools and technologies you may work with

Machine Learning, large language models (LLMs), large quantitative models (LQMs), AI/ML workflows, AWS Bedrock, Agentic AI (RAG, agentic architectures, vector databases), Amazon Q, SageMaker, containerized deployments, Hugging Face, LangChain, guardrail implementations, and foundational models such as Qwen, Anthropic’s Claude, Mistral, plus RCTs.

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+ years building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search

Salary: USD 143,700 - 194,400 per year. Location: Seattle, WA (onsite). Minimum experience: 3 years.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, 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

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2mo ago

Senior Manager, Senior Data Engineer – Paid Marketing

Marriott International, Inc Bethesda, MD 📍 MD Remote

Bethesda, MD

2mo ago Closed

$100k - $199k/yr Full time Manager Marketing Senior

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

Enjoy a remote-friendly senior data engineering role with Marriott International. This position offers a competitive salary, a robust benefits package, and opportunities to grow within a global brand while making an impact across Marketing and Digital analytics. You will design and deliver scalable data pipelines and data solutions on Marriott's cloud-native platform (Snowflake, Airflow, AWS) to power personalization, campaign optimization, and enterprise analytics. You will partner with engineering, product, and business teams to translate requirements into scalable, standards-aligned data solutions and contribute to ongoing modernization efforts across the data platform.

Benefits

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical coverage
dental coverage
vision coverage
health care flexible spending account
dependent care flexible spending account
life insurance
disability insurance
accident insurance
adoption expense reimbursements
paid parental leave
educational assistance

Responsibilities

Design and implement end-to-end data pipelines (ingestion, transformation, delivery) using Airflow and Snowflake to support marketing data use cases
Develop and optimize data models and curated datasets to enable analytics, reporting, and downstream data products
Collaborate with engineering, product, and business teams to translate requirements into scalable data solutions aligned with platform standards
Ensure data quality, governance, security, and compliance across pipelines and datasets
Improve performance, reliability, and cost efficiency of Snowflake workloads and orchestration workflows
Contribute to platform modernization efforts, including automation, standardization, and reusable pipeline frameworks
Support and mentor engineers by promoting best practices in data engineering, testing, and deployment

Requirements

Strong experience building cloud-based data solutions (AWS + Snowflake preferred)
Hands-on expertise in data pipeline orchestration (Airflow) and modern ETL/ELT patterns
Advanced proficiency in SQL and data modeling for analytics and reporting use cases
Solid understanding of data governance, quality, and security principles
Experience working with large-scale, distributed data systems supporting analytics or personalization
Strong collaboration skills with the ability to work across engineering, product, and business teams

Technologies

Airflow
Snowflake
AWS
SQL

Location and work setup

Location: Bethesda, Maryland, United States, with remote work options. Schedule: Full Time. This is a management level role with bonus eligibility. Remote pay range is listed as $100,400 to $181,000 annually; Bethesda, MD location pay range is $110,400 to $198,900 annually. Job number: 26075330.

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2mo ago

Senior Analytics Engineer (Marketing)

Ledgent Technology New York, NY

New York, NY

2mo ago Closed

$58 - $91/hr Contract Marketing Senior Analytics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Ledgent Technology is seeking a Senior Analytics Engineer (Marketing) to design and deliver sophisticated dashboards and automated reporting for the Marketing Analytics organization. This on-site contract role handles end-to-end BI deliverables, from data acquisition to platform integrations, with a path to contract-to-hire through Roth Staffing. The position is available in New York, NY (onsite) or Bethesda, MD, with a compensation range of USD 58 - 91 per hour and a requirement for a bachelor’s degree and at least five years of BI experience.

Responsibilities

Create sophisticated dashboards featuring interactive elements while applying visualization best practices to optimize chart choice, usability, and stakeholder clarity.
Write and maintain advanced SQL queries and Python automation to support reliable data extraction, transformation, QA checks, and scheduled reporting; manage shared codebases in Git or Azure DevOps, adhering to team standards for commits, reviews, and documentation.
Establish automated reporting pipelines and repeatable delivery patterns to minimize manual effort and improve reliability.
Source and integrate datasets independently; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
Clarify ambiguous requirements by asking targeted questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
Collaborate with Marketing and enterprise stakeholders to support MarTech data acquisition strategies, tagging/collection requirements, platform integrations, and the usability of marketing datasets for reporting and analytics.
Conduct thorough self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
Present BI outputs and insights to stakeholders with a clear narrative, detailing assumptions, limitations, and tradeoffs.
Provide mentorship to junior BI engineers on tools, best practices, documentation, and stakeholder communication.
Manage multiple projects concurrently, accurately scoping timelines and proactively flagging risks.
Maintain a growth mindset by seeking feedback, pursuing learning opportunities, and continuously improving BI craftsmanship across accuracy, usability, and documentation.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or a related field.
Minimum five years of experience in BI or analytics engineering, or a closely related domain (flexible at the company's discretion for exceptional aptitude in other core areas).
Expert SQL skills and advanced experience with BI tools such as Tableau, Power BI, or Looker.
Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
Excellent communication skills with a track record of translating stakeholder needs into technical specifications.

Technologies

SQL
Python
Git
Azure DevOps
Tableau
Power BI
Looker
LookML
MetricFlow
dbt
Snowflake
Google Analytics
Campaign Manager 360 (CM360)
SA360
Salesforce

Role Summary

The Marketing department seeks a seasoned BI professional to join the Marketing Analytics team as a Senior Analytics Engineer (BI). The role focuses on building intricate dashboards and automated reporting solutions, translating stakeholder questions into technical specifications, and ensuring outputs are accurate, well-structured, and aligned with definitional standards.

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Engineer Marketing Jobs

Machine Learning Engineer, Advertising & Marketing Performance Intelligence

Senior Manager, Senior Data Engineer – Paid Marketing

Senior Analytics Engineer (Marketing)

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