Senior Machine Learning Engineer (IC4)

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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.

As a global email provider, Yahoo Mail is the ultimate Consumer Inbox with over 220 million monthly active users. We create technology that changes the internet while handling billions of inbound connections per day to manage trillions of messages requiring petabytes of efficient storage.

Be the best consumer email platform to help users run the business of their life.

The Mail Intelligence Org develops intelligent capabilities at scale to uncover interests, reveal habits, and personalize user journeys across Yahoo Mail and the entire Yahoo ecosystem. We seek innovative, entrepreneurial, and passionate engineers dedicated to delivering exceptional user experiences. Your passion and ownership mindset are as vital as the high engineering standards, code quality, and world‑class architectural skills we uphold.

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• Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Yahoo Mail and the broader Yahoo ecosystem.
  
• Innovate and personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences.
  
• Data‑driven insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge.
  
• Tool and workflow development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI‑based infrastructure and analytics.
  
• Collaboration: Work closely with cross‑functional teams in the USA to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions.
  
• Commitment to excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences.
  
• Feedback and recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction.
  
• Balance tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance.
  

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• Educational background: Strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies.
  
• Technical skills: Proficient in Python or Java, skilled in ML frameworks such as Huggingface, TensorFlow, PyTorch, and Scikit‑learn; expertise in discriminative & generative AI, and model deployment (vLLM, TensorRT‑LLM, Triton, ONNX runtime). Familiar with AI tools like Cursor, Copilot, and Claude.
  
• Problem‑solving ability: Strong analytical skills and a knack for solving complex problems using data‑driven approaches.
  
• Collaboration: Team player who can work effectively with cross‑functional teams, including tech leads and architects, to deliver high‑quality solutions.
  
• Passion for innovation: Enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Yahoo Mail and the broader ecosystem.
  
• Attention to detail: Commit to delivering robust, scalable solutions with high standards for code quality.
  
• Continuous learning: Eager to stay updated with the latest advancements in AI/ML and apply them to improve Yahoo's products and services.
  

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• Educational requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus.
  
• Experience: 5+ years in machine learning, data analysis, or a related field.
  
• Technical proficiency: Strong programming skills in Python, Java, or C++; experience with ML frameworks such as Huggingface, TensorFlow, PyTorch, and Scikit‑learn; expertise in discriminative & generative AI, and model deployment (vLLM, TensorRT‑LLM, Triton, ONNX runtime). Familiar with AI tools like Cursor, Copilot, and Claude.
  
• Data handling: Experience with big data technologies and tools such as Hadoop, Spark, or similar.
  
• Algorithm knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques.
  
• Problem‑solving skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions.
  
• Collaboration skills: Experience working with international teams and cross‑functional collaboration.
  
• Communication skills: Strong verbal and written communication skills for effective collaboration with US‑based teams.
  
• Continuous improvement: Eagerness to learn and adapt to new data technologies and methodologies.
  

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• Mail experience: Prior experience working with email systems or related technologies is a plus.
  
• Personal attributes: Self‑driven and detail‑oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively.
  
• Cloud experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.
  

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. xcfaprz If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( ) or call

If you are currently employed at Yahoo, please apply on our internal career site.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development