Engineer, Magnite

Applied LLM Team

$70-100k

Salary varies depending on location. Plus equity and Employee Stock Purchase Plan

SQL

React

AWS

Docker

TypeScript

JavaScript

Python

Django

Postgres

Flask

FastAPI

Junior level

Denver

Los Angeles

New York

M/F remote, T/W/TH in-office

3 days a week in office

Sell-side omnichannel advertisement platform

Be an early applicant

Sell-side omnichannel advertisement platform

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Be an early applicant

$70-100k

Salary varies depending on location. Plus equity and Employee Stock Purchase Plan

SQL

React

AWS

Docker

TypeScript

JavaScript

Python

Django

Postgres

Flask

FastAPI

Junior level

Denver

Los Angeles

New York

M/F remote, T/W/TH in-office

3 days a week in office

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Company mission

Magnite's mission is to help the world’s leading advertisement agencies and brands reach millions of consumers efficiently and safely through its omnichannel sell-side advertisement platform.

Job

Company

Role

Who you are

This is an ideal role for someone early in their career — whether you’re a recent graduate or have a year or two of hands-on experience — who’s excited to learn, ship code, and grow into a strong AI engineer
1 to 2 years of software development experience - internships, research projects, coursework or open-source contributions all count
Strong programming skills in Python or JavaScript/TypeScript
Interest in applied AI or LLMs - experience with APIs like OpenAI, Anthropic or open-source models is a plus
Basic understanding of backend systems - APIs, databases (SQL/Postgres) and cloud platforms (AWS preferred)
Curiosity and a growth mindset - you love learning new tools and exploring how AI can solve real problems
Strong communicator who enjoys working collaboratively across technical and non-technical teams
Passionate about building - you’ve worked on projects that apply AI, automation or data-driven systems, whether at a school, in internships, or on your own
Experience with vector databases (FAISS, Pinecone, Chroma) or retrieval-augmented generation (RAG) projects
Exposure to LLM frameworks like LangChain or LlamaIndex
Familiarity with video or media processing (e.g. FFmpeg)
Some experience with React, FastAPI, or Nuxt
Previous experience with AWS, Docker or similar environments
Contributions to open-source or personal projects showcasing your initiative and curiosity

What the job involves

We’re looking for an Associate Software Engineer to join our Applied LLM team, helping to build intelligent, production-grade systems powered by large language models (LLMs). You’ll collaborate with senior engineers to design agentic workflows, build evaluation tooling, and automate AI-powered tasks that make our internal tools and products smarter
The Applied LLM Team is a dedicated group focused on accelerating the integration of Large Language Models (LLMs) into Magnite’s product suite. Born out of the success of our audience recommendation tool, this team is tasked with rapidly iterating, deploying high-impact AI features, and pushing the boundaries of what's possible with LLM technology in advertising tech
Our mission is to enhance Magnite’s products through centralized LLM development, intelligent agent systems, and tight collaboration with product and engineering teams. By acting as internal advocates and builders, we aim to make LLMs accessible, impactful, and inspiring across the company
We move fast, experiment boldly, and imagine a smarter future—powered by AI
Contribute to AI-powered features - help design and build systems that use large language models for real-world applications
Develop agentic workflows - work with teammates to create multi-step processes that automate tasks and interact safely with internal APIs and data
Support evaluation and monitoring tools - help design frameworks for measuring performance, latency and reliability of LLM-based systems
Collaborate across teams - partner with product, data, and operations teams to bring AI-driven ideas to life
Work across the stack - contribute to backend (Python Flask, Django) and frontend (React, Typescript) codebases as needed
Learn from senior engineers - participate in code reviews, architecture discussions, and design sessions to deepen your technical understanding
Experiment and iterate - explore new model APIs, prompting techniques and evaluation strategies in a supportive, fast-moving environment
Our current tech stack:
Backend: Python, Node
Frontend: Nuxt, React, Typescript, Node.js
Data: PostgreSQL, FFmpeg
Infra: AWS, Docker, Terraform
LLM/AI: OpenAI, Llama, LangChain

Our take

Due to the rise in mobile and smart devices in recent years, the way in which advertisement publishers must format their ads is changing. A key example of this is TV, advertisements that present immediate calls to action within a Connected TV user interface, but publishing ads in such a format is currently inaccessible to most publishers.

Magnite provides a sell-side omnichannel advertisement platform for publishers, focused on facilitating the selling of advertising on all formats including CTV, mobile, desktop, and audio. In addition to facilitating the buying and selling of omnichannel ads, the company also provides a real-time ad performance dashboard, data protection and compliance tools, and insights into buying and selling patterns.

Whilst other omnichannel advertisement platforms present significant competition to the company, Magnite stands out by providing an end-to-end marketplace for the buying, selling, management, and analysis of ads. Furthermore, by focussing its efforts on cutting-edge formats such as CTV, the company shows great potential to futureproof itself within the advertisement industry.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

5% employee growth in 12 months

Glassdoor (3.9)

Company

Company benefits

Equity and Employee Stock Purchase Plan
Pension and Retirement Savings Plan in Several Countries
Comprehensive Healthcare Benefits for You and Your Family
Generous Time Off, Holiday Breaks and Summer Fridays
Family-Focused Leave Benefits
Cell Phone Subsidy
Performance Management, and Investment in Diversity Initiatives
Bonusly Peer-to-Peer Recognition Program, Turning Recognition into Tangible Perks and Magnite Swag
Community Service Events
Wellness Coach—Meditate and Recharge with an Unlimited User Account for You and a Plus One

Company HQ

Westchester, Los Angeles, CA

Leadership

Michael Barrett

(CEO)

Experience as CEO of Rubicon Project from 2017 to 2020. President and Founder of Ichabod Farm Ventures LLC since 2012.

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