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Expedia, Inc.

Machine Learning Scientist III - Growth Marketing (Production GenAI & Agentic Mu

Expedia, Inc., Seattle, Washington, us, 98127

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Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while

leveraging

the scale and efficiency

we’ve

built in functional

expertise

. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs,

GenAI

, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production

chatbot

transforming

inspiring

reels

and posts

into

hotel

recommendation

. As an ML Scientist III, your mission is to

engineer,

and

scale production AI workflows, agents, and multimodal LLM pipelines

,

leveraging

both in-house and third-party systems.

You’ll

develop agentic solutions with advanced orchestration tools like

LangGraph

,

Langfuse

, RAG, and the latest frameworks

,

owning end-to-end delivery and optimizations for inference and

GenAI

systems. In this role, you will: Develop

and

deploy

complex agentic and multimodal AI workflows at production scale

, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization,

real-time

monitoring

and content generation.

Design and orchestrate advanced LLM and RAG-driven agent solutions

using modular frameworks including

LangGraph

,

Langfuse

,

CrewAI

,

AutoGen

, and other emerging agentic orchestration tools—enabling adaptive, stateful, and highly interactive workflow graphs.

Integrate and

optimize

complete multimodal

GenAI

pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice,

leveraging

and extending

in-house

and

third party

models

.

F

ine-tune (parameter-efficient tuning,

LoRA

,

QLoRA

, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude).

Pioneer LLM-based simulation

& evaluation

environments

(e.g., LLM-as-a-Judge)

: Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously

evaluate

new features or workflows in

both

synthetic

and prod

online shopping and travel environments.

Simulate

A/B

testing

via LLM simulations:

Build

A/B test agents

capable

of

simulating

user engagement, behavioral outcomes, and marketing scenarios to complement and

replace large-scale online testing—enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact.

Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal

GenAI

, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation).

Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions.

Experience and

qualifications: Minimum

7

+

years

experience

delivering robust, scalable AI/

GenAI

solutions at enterprise scale with

a

Bachelors

degree (4-5+ year of relevant experience with a Masters/Ph

D

in CS, EE, Stats

)

A

gentic

f

rameworks

experience

working with

platforms such as

LangGraph

,

Langfuse

, RAG,

CrewAI

,

AutoGen

, and comparable agent workflow frameworks

Ab

ility

to design complex agent graphs with memory, tool calling, and multi-step reasoning

Multimodal and

a

gentic AI

experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO,

et

c

), advanced LLM pipeline design, and shipping both inference and generative AI features to users

Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs,

Multimodals

etc

)

Proven

expertise

in architecting persistent, hybrid, and context-managed memory for agentic workflows

Strong in Python (

PyTorch

,

HuggingFace

, etc.),

MLOps

, distributed systems (

PySpark

, Databricks, Airflow), and scalable API engineering

Deep experience with tracing, logging, and observability stacks (

Langfuse

,

PromptLayer

, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production

Ability to t

ranslate complex technical systems into actionable solutions for cross-functional teams,

leveraging

M

ultimodal

LLM

s and Gen AI models

The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including

medical/dental/vision,

paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (

IATAN

) membership.

View our full list of benefits

. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the

Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises.

2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is

careers.expediagroup.com/jobs

. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization. #J-18808-Ljbffr