Performance Marketing

Performance Marketing Engineer Jobs

2 jobs found

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

Amazon’s Advertising & Marketing Performance Intelligence (AMPI) team is hiring a Machine Learning Engineer to develop, deploy, and scale production-grade machine learning and GenAI solutions. This onsite role in Seattle focuses on building ML infrastructure and enabling automated decision-making and personalized marketing communications.

Role Responsibilities

Partner with Data and Applied Scientists to process structured and unstructured data inputs, scaling ML and LLM infrastructure for production while optimizing infrastructure costs, GPU utilization, memory management, and training workflows.
Work on production training approaches such as offloading optimizer states and massive parallelization to support production environments.
Build and deliver reusable technical assets that accelerate adoption of ML, Optimization, and GenAI across multiple science initiatives.
Design and maintain production-grade, large-scale distributed training systems for ML, Causal, GenAI, and multi-modal foundation models.
Optimize AWS AI/ML infrastructure to improve cost efficiency, GPU utilization, latency, training cost, and fine-tuning performance on massive datasets.
Create robust monitoring and debugging tooling to support reliability and performance of training workflows, including piloting LLMs and diagnosing system issues.
Collaborate with Engineers, Data, and Applied Scientists to evaluate design approaches, prototype new GenAI and ML models, assess technical feasibility, and resolve complex problems.

Required 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 and Tools

Machine Learning; large language models (LLMs); large quantitative models (LQMs)
AI/ML workflows and distributed training systems
AWS Bedrock; Amazon Q; SageMaker
Agentic AI (RAG, agentic architectures, vector databases)
Containerized deployments
Hugging Face; LangChain
Guardrail implementations
Foundational models such as Qwen, Anthropic Claude, Mistral
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 of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search.

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 and 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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Today

Software Data Engineer

The Walt Disney Company (Corporate) Burbank, CA 🇺🇸 Remote

Burbank, CA

Today

$107k - $143k/yr Full time Artificial Intelligence Big Data Data

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Job Description

The Walt Disney Company’s Enterprise Media and Marketing organization is building data capabilities that power data-driven paid media. In the Performance Marketing arm, this role focuses on designing and operating end-to-end data pipelines, developing tools that support the team, and adding safeguards so campaign optimizations and metrics stay accurate.

This is a Software Data Engineer role based in Burbank, CA (remote), supporting production-grade data engineering for media and marketing teams.

What you’ll do

Help develop the tool suite used by the Performance Marketing group
Lead data engineering, data modeling, and architectural standards, with a focus on rigor across pipeline development, observability, and documentation
Build and maintain end-to-end data pipelines, from source systems through to downstream teams, applications, and users
Work with media and marketing experts to move from prototypes to high-quality production pipelines and applications
Add quality controls, monitoring, and other safeguards to ensure optimizations are applied safely and that key business metrics are presented accurately

Required qualifications

Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience)
3+ years of experience designing and delivering backend architectures in a production environment, including strong understanding of design patterns and best practices
Strong opinions on how to use AI/LLMs in the software development process, including the ability to assess hype versus practical value and apply it effectively
Experience with Spark and SQL, plus the ability to build simple, maintainable data pipelines on scaled data platforms
Ability to dive deeply into technical components as needed
Experience working in fast-paced environments with cross-functional teams to translate business needs into reality-based requirements

Technologies you may work with

Spark, SQL, AI/LLMs, Python
Databricks, Snowflake
AWS, Terraform
DMPs
Google Ads, Facebook/Instagram, Innovid, LiveRamp
DSPs, including Google Display Video, The Trade Desk, Yahoo

Preferred qualifications

Experience working effectively with data science teams
Specific experience with Spark, Python, Databricks/Snowflake, AWS, Terraform
Knowledge of media buying and ad platforms, including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp, and DSPs (Google Display Video, The Trade Desk, Yahoo)

Compensation and benefits

The hiring range for this remote position in Burbank, CA is $106,900.00 - $143,300.00 per year. Base pay actually offered will consider internal equity and may vary based on geographic region, job-related knowledge, skills, and experience, among other factors.

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

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Performance Marketing Engineer Jobs

Machine Learning Engineer, Advertising & Marketing Performance Intelligence

Software Data Engineer

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