Machine Learning Engineer

• You are a quick learner and intrigued by the design challenges inherent in building highly scalable, complex and reliable software systems.
• You are a self-motivated engineer with experience in building scalable distributed data processing systems handling terabytes of data on the grid.
• You are passionate about the importance that data plays in the knowledge works, particularly data that is extracted from the web and Yahoo mail corpus.
• You take pride in writing excellent quality code and expect nothing less from your peers.
• You have excellent communication skills, write detailed design documents, a champion of automated testing and automated deployments.
• You have experience handling scale seen at companies like Yahoo, Google and Facebook. You are above all a great team player who thrives in a fast paced environment and passionate about delivering results.
• You are high functioning in a remote based job landscape.

• You will research and develop innovative algorithms for information retrieval, processing and ranking.
• You will build, enhance, optimize and deploy tools, workflows, systems to process  Yahoo mail data for extraction relevant information.
• You will be responsible for improving information extraction using machine learning and natural language processing techniques.
• You will participate in agile development to add incremental value to the business.
• You will collaborate with Research scientists to build M/L models for classification, extraction and recommendations in automated fashion.

• MS in Computer Science or related field with strong understanding of the fundamentals including Data Structures, Algorithms
• Experience in algorithm design and ML/AI
• Experience working with languages such as Java or Python
• Familiarity with data mining, text processing and classification algorithms
• Demonstrated problem solving skills and taking initiatives
• Great communication skills, joy in helping people, ability to remain friendly and constructive under stress
• 2+ experience working with Applied ML

• Experience in building scalable distributed data processing systems handling terabytes of data with technologies like Hadoop, Hbase, Pig, Oozie to name few.
• Experience with Tensorflow/PyTorch
• Prior experience in Information Retrieval and extractions.
• Understanding of statistical methods and exploratory data analysis.

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!

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