Applied Scientist II

Overview

What if your job description were simply make tomorrow better Every day at Microsoft, we bring an insatiable curiosity to the workplace, challenging ourselves to reimagine what it is and what it can be. We build on what's come before to create what's next. We help shape the future and we empower billions of people around the globe.

We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries.

We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multiobjective optimization, and a number of other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience.
• Experience with TensorFlow/PyTorch and deep learning models.
• Solid understanding of probability, statistics, machine learning, data science.
• A/B testing & analysis of ML models, and optimizing models for accuracy.
• Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models.
• End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
• Experience implementing machine learning algorithms or research papers from scratch.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check:

  This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities

• You will gain a basic understanding of a broad area of research and applicable research techniques. You'll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.
• You will apply strategies provided by senior team members. Following guidance from team leaders you'll also research relevant tools and technologies being used in the community.
• You will reinforce a positive environment by learning and adopting best practices. And you will maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.
• You will assist with documentation for senior team members, as needed. You'll also learn and follow ethics and privacy policies while executing research processes or collecting information.