Senior Machine Learning Engineer

Reposted One Month Ago
Hiring Remotely in United States of America
Remote
128K-267K Annually
Senior level
AdTech • Digital Media • Information Technology • Other
The Role
Design, implement, and scale ML-based solutions for search and advertising; define data collection, evaluation, and production serving strategies; analyze data to inform development; communicate cross-functionally; produce technical reports; and stay current with advances in LLMs, vision models, and generative AI.
Summary Generated by Built In
Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

A Little About Us
Yahoo Research is at the forefront of developing intuitive, intelligent, and forward-looking products across our brand portfolio. We harness AI and emerging technologies to shape the next generation of Yahoo, hiring world-class engineers to support our ambitious product and platform goals. Our engineers thrive in a highly collaborative environment with a strong emphasis on technical excellence and innovation. This is a unique opportunity as we reimagine the future of Search, reinventing how users find information and accomplish their goals. To achieve this vision, we are integrating new technology and expanding our infrastructure. This role demands strategic partnership, analytical thinking, exceptional planning and execution skills, ambitious innovation, an obsession with quality and user needs,
a passion for solving complex problems, and the commitment to implement durable solutions quickly and effectively. If you enjoy being part of high-performing teams, this role is for you!

A Lot About You
Responsibilities:

  • Understand the technical challenges of a real world problem. Think and formulate problems from first principles and map them to one or more Machine Learning paradigms

  • Utilizing strong communication skills, iteratively discuss technical ideas cross-functionally

  • Define technical requirements, which involves but is not limited to, data collection, evaluation mechanism and production serving strategy

  • Based on product requirements, design and implement ML-based solutions and systems that can scale and evolve over time

  • Analyze data and identify patterns to inform further development

  • Produce technical reports and documentation targeted to both technical and

  • non-technical audiences

  • Stay updated on industry trends and advancements in technology such as large language and vision models, and generative AI

Qualifications:

  • 4+ years of track record driving impact in the industry and related experience

  • Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Statistics,

  • Applied Math or related discipline; or, equivalent experience

  • Expertise in AI, machine learning, deep learning and natural language processing

  • Expertise in Java and Python

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!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

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 $128,250.00 - $266,875.00/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.

Skills Required

  • 4+ years of industry experience driving impact
  • Master's degree or Ph.D. in Computer Science, EE, Statistics, Applied Math or related discipline, or equivalent experience
  • Expertise in AI, machine learning and deep learning
  • Expertise in natural language processing
  • Expertise in Java and Python
  • Strong communication skills and ability to collaborate cross-functionally

Yahoo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Yahoo and has not been reviewed or approved by Yahoo.

  • Healthcare Strength — Health, dental, and vision coverage are available, and the breadth of options is often highlighted as a strong point. Feedback suggests core medical benefits are robust.
  • Retirement Support — A 401(k) with company matching is offered, supporting long-term financial planning. Feedback suggests the retirement program is a notable pillar of the total rewards package.
  • Parental & Family Support — Paid maternity and paternity leave are offered alongside adoption and fertility assistance, with backup childcare mentioned in some listings. Feedback suggests family-focused benefits are a standout aspect of the package.

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The Company
HQ: Sunnyvale, CA
10,001 Employees

What We Do

Yahoo is a global media and tech company that connects people to their passions. We reach nearly 900 million people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.

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