Senior Machine Learning Engineer

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.

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 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.