Senior Machine Learning Engineer
YahooAbout the role
A Little About Us:
The Yahoo Mail engineering team develops the solutions to power our mail brands, including a next-generation backend infrastructure that we are moving to a 100% public cloud native architecture. We are looking for innovative, entrepreneurial, and passionate developers to help us build the future of communications experiences and delight our users. We are engineers who strive to deliver our users only the absolute best and are willing to meticulously refine the details to achieve this goal.
We believe that engineering is only a piece of the effort and that you must be as passionate about the user’s experience as you are about code quality and architecture. Our goal is to make communication simple, enjoyable and more productive to help our users run the business of life.
The Mail Intelligence platform is responsible for building the next generation platforms and services enabling Yahoo to deliver deeply personalized content to the hundreds of millions of users wherever they are and whatever mode of consumption they are using.
We (Mail Intelligence platform) process billions of mail messages(data in tune of several petabytes).With the help of cutting edge algorithms we extract information, build knowledge, interconnect information between different sources to deliver a great experience to our users. Building this knowledge provides many challenges in the areas of natural language processing, machine learning techniques, big data processing in order of petabytes. You will build tools and workflows to make it easier to manage and act on this vast information. You will apply your insights on the data to build innovative consumer applications for Yahoo.
About You:
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
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 working at scale
You are above all a great team player who thrives in a fast paced environment and passionate about delivering results
Your Day:
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
Qualifications:
MS in Computer Science or related field; or equivalent experience
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+ years experience working with Applied ML
5+ years of experience in the industry working with Backend Systems
Preferred Qualifications:
Experience in building scalable distributed data processing systems handling terabytes of data with technologies such as: hadoop, hbase, pig, oozie, etc.
Experience with Tensorflow/PyTorch
Prior experience in Information Retrieval and extractions
Understanding of statistical methods and exploratory data analysis
#LI-AC1
The material job duties and responsibilities of this role include those listed above as wel
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