Performance Marketing

Performance Marketing Developer 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

Join Amazon’s Advertising & Marketing Performance Intelligence (AMPI) team in Seattle, WA (onsite) to build and scale production machine learning and GenAI solutions. This role focuses on developing the ML infrastructure that powers automated decision-making and personalized marketing communications, with an emphasis on efficient training workflows, reliable deployments, and cost-conscious AWS AI/ML execution.

What you’ll work on

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 production training workflows (including techniques such as offloading optimizer states and massive parallelization).
Create reusable technical assets that help accelerate adoption of ML, Optimization, and GenAI across multiple science initiatives.
Design and maintain production-grade large-scale distributed training systems that support ML, Causal, GenAI, and multi-modal foundation models.
Optimize AWS AI/ML infrastructure costs and improve efficiency across training, including latency and costs, and support fine-tuning on massive datasets.
Build monitoring and debugging tools to improve reliability and performance of training workflows, support LLM pilots, and surface system issues.
Collaborate with Engineers, Data, and Applied Scientists to explore design options, 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 design or architecture experience (design patterns, reliability, and scaling) for new and existing systems
Experience programming with at least one software programming language
Experience in machine learning, data mining, information retrieval, statistics, or natural language processing

Tech you may work with

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

Salary: USD 143,700 - 194,400 per yearly.

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with options for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and 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

Build and operate end-to-end data capabilities for Performance Marketing within The Walt Disney Company’s Enterprise Media and Marketing team.

Responsibilities

Contribute to the development of the tool suite used by the Performance Marketing group
Lead data engineering, data modeling, and architectural standards across the team, with emphasis on pipeline rigor, observability, and documentation
Design, create, and manage end-to-end data pipelines from source systems through delivery to downstream teams, applications, and users
Partner with media and marketing experts to move from prototypes to production-ready pipelines and applications
Build and maintain quality controls, monitoring, and safeguards to ensure optimizations are applied accurately and safely to in-flight ad campaigns and to keep key business metrics consistently correct

Requirements

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

Technologies

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

Preferred Qualifications

Experience working effectively with data science teams
Experience with the specific stack: 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 & Benefits

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

Compensation Details

Remote role based in Burbank, CA
Hiring range: $106,900.00 - $143,300.00 per year
Base pay offered will consider internal equity and may vary by geographic region, job-related knowledge, skills, and experience

Location: Burbank, CA (remote)

Minimum experience: 3 years

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Performance Marketing Developer Jobs

Machine Learning Engineer, Advertising & Marketing Performance Intelligence

Software Data Engineer

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