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Yahoo

Senior Principal AI/ML Architect, Yahoo Mail

  • Hybrid
  • 6+ years

Salary

$160,965+/ year

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Description

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.

A Little About Us

Yahoo Mail serves over 220M users globally and operates at massive scale—billions of inbound connections and trillions of messages. Our vision is to be the best consumer inbox that helps users run the business of their lives.

The Mail Intelligence AI/ML Platform powers intelligent capabilities across Yahoo Mail and the broader Yahoo ecosystem. We build systems that extract meaning from unstructured content, understand user context and intent, and deeply personalize user journeys at scale.

We are evolving beyond traditional ML into agentic, assistive, and proactive intelligence —systems that don’t just classify or recommend, but reason, act, orchestrate workflows, and assist users autonomously and responsibly.

A Lot About You

We are seeking a Senior Principal AI/ML Architect (IC6) to define and drive the architectural vision for agentic, assistive, and personalization intelligence across Yahoo Mail and adjacent Yahoo properties. As the AI/ML Architect scope spans business-unit level impact , with influence across multiple squads and strategic alignment with business direction. You will define long-term AI strategy, architecture patterns, evaluation standards, and operational excellence for intelligent systems that operate at global scale.

Lead architecture for mission-critical AI systems across the business unit

Translate ambiguous business opportunities into cohesive AI platform strategy

Influence technical direction across multiple squads

Set engineering and operational standards at the business unit level

Proactively align design choices with long-term business strategy

What You’ll Drive

Agentic AI Architecture Strategy

Define reference architectures for:

Multi-agent systems

Tool-augmented LLM orchestration

Memory and context frameworks

Retrieval + reasoning hybrid architectures

Establish guardrails, explainability, and responsible AI standards.

Design human-in-the-loop and autonomy control patterns.

Personalization Platform Evolution

Define next-gen personalization architecture:

Unified user representation

Cross-product intelligence graph

Real-time ranking and recommendation systems

Set metrics frameworks and benchmarking standards for personalization quality.

Inference & ML Platform Modernization

Lead architectural decisions on:

Model serving standardization

LLM hosting strategy (self-hosted vs API)

Cost optimization and latency budgets

Cross-team reusable AI infrastructure

Drive build-vs-buy decisions at business-unit scale .

Governance & Engineering Excellence

Set engineering standards across BU .

Define evaluation frameworks for LLM and ML quality.

Establish reproducibility, experimentation, and ML lifecycle governance.

Champion tech initiatives to scale quality and communication .

Organizational & External Influence

Lead cross-functional alignment (Product, Data Science, Infra).

Mentor principal and senior engineers.

Represent Yahoo engineering externally via talks, blogs, and technical leadership .

Shape industry best practices in assistive and agentic AI systems.

Requirements

  • Bachelor's degree or Master's degree in Computer Science or related discipline; or equivalent experience
  • 12+ years of software engineering experience, with deep AI/ML expertise
  • Proven track record architecting large-scale AI platforms
  • Strong expertise in:
  • Distributed ML systems
  • LLMs and generative AI
  • Personalization and ranking systems
  • Production inference infrastructure
  • Experience influencing architecture across multiple teams or business units
  • Demonstrated ability to translate business strategy into technical strategy
  • The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies ; exercising sound judgment ; working effectively, safely and inclusively with others ; exhibiting trustworthiness and meeting expectations ; and safeguarding business operations and brand integrity.
  • At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!
  • We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.
  • The compensation for this position ranges from $160,965.00 - $349,885.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.
  • Currently work for Yahoo? Please apply on our internal career site.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Yahoo

Office in United States

Also hiring in Ireland

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

Still hiring?

14 checks

2 red flags

How crowded?

7 checks

1 red flag

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • LLMs
Seniority
Principal
Type
Full-time
Specialty
ML
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Principal
Experience
12+ years
Tech stack
  • LLMs

Location

Work model
Hybrid
Region
United States
Office
  • United States
Remote from
  • United States

Compensation

Salary
$160,965+ / year
Pay period
Annual

Employment

Type
Full-time

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