Yahoo Logo

Yahoo

Senior Machine Learning Engineer

Reposted 3 Months Ago
Remote
Hiring Remotely in United States of America
128K-267K Annually
Senior level
Remote
Hiring Remotely in United States of America
128K-267K Annually
Senior level
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.
The summary above was generated by AI
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.

HQ

Yahoo Sunnyvale, California, USA Office

Sunnyvale, CA, United States, 94089

Yahoo San Francisco, California, USA Office

San Francisco, CA 94107, San Francisco, United States, 94107

Yahoo San Jose, California, USA Office

San Jose, United States

Similar Jobs

5 Hours Ago
Remote or Hybrid
United States
134K-168K Annually
Senior level
134K-168K Annually
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Build and scale production machine learning solutions for lottery fulfillment. Develop and optimize computer vision and multimodal models, fine-tune and evaluate models, create data pipelines and evaluation frameworks, and deploy models on cloud infrastructure. Integrate models into real-time systems involving image processing, barcode decoding, and OCR. Collaborate cross-functionally, improve engineering standards, mentor teammates, and support reliable nationwide expansion.
Top Skills: DatadogDockerGithub ActionsGCPHugging Face TransformersJavaKotlinKubernetesLoraOpencvPeftProtocol BuffersPythonPyTorchVllm
3 Days Ago
In-Office or Remote
94104, San Francisco, CA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develops core AI capabilities for Atlassian’s DevAI products, including LLM-based methodologies, prompt engineering, end-to-end AI features, data preprocessing, feature engineering, experimentation, model evaluation, pipeline optimization, and monitoring. Collaborates with data scientists, software engineers, and cross-functional partner teams to solve complex problems and apply advances in machine learning and AI.
Top Skills: Feature EngineeringLarge Language Models (Llms)Machine LearningMachine Learning PipelinesPrompt Engineering
5 Hours Ago
Remote or Hybrid
GA, USA
Senior level
Senior level
Financial Services
Leads software engineering for AI/ML products within an agile banking technology team. Develops, reviews, debugs, and operationalizes secure production code using Python, PySpark, Databricks, AWS, and LLM technologies. Establishes governance and validation standards for AI-assisted engineering, promotes responsible AI practices, guides technical design and operations, and serves as a subject matter expert across teams.
Top Skills: Agentic AiAWSDatabricksGenerative AiLlmPysparkPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account