Applied Scientist II

Are you passionate about large scale machine learning? Are you interested in
Large Language Models? We are Web Data Document Understanding team, and we are
looking for a strong Data Scientist/Applied Scientist to develop cutting-edge
solutions for various document understanding tasks. We build web scale Index
along with deep understanding of the document content to retrieve rich facets,
semantic view, dense representations while weeding out poor quality pages to
power relevant and delightful experiences across products like Bing Search
Engine, Personalized Recommendations, Ads, windows experience, etc.

Document Understanding Team plays a pivotal and central role in understanding
various public web information needs of users and building next generation
models to stay ahead of the curve and push the platform capabilities to go
hand in hand with modelling improvements. Work in our team is unique as you'll
be able to work with industry-leading scales of data (raw and training data),
computing resources and best quality large language models like GPT4,
multimodal large language model, etc.

Responsibilities

As a Data Scientist/Applied Scientist focusing on document understanding, your
primary responsibilities will include:
* Data Analysis, Modeling and Enhancement:
* Collaborate with cross-functional teams to design, develop, and implement algorithms for various document understanding features and their usage in downstream tasks.
* Optimize existing algorithms by analyzing performance metrics and feedback, incorporating advanced machine learning techniques including generative AI techniques.
* Identify new opportunities in Web Data space to solve using ML at scale of 100s of Billions of documents.
* Build Feature Generation Algorithms used at Index Generation time.
* Build Automated Document Understanding Training Pipelines
* Experimentation and A/B Testing:
* Design and conduct A/B tests to evaluate the performance of various algorithms/model and propose iterative improvements based on the results.
* Utilize experimentation results to iterate and fine-tune models, ensuring continuous improvement and impact on key business metrics.
* Push the state-of-the-art in those areas through multiple aspects.
* Defining the problem space
* Gathering training data at scale
* Exploring model design and architecture,
* Exploring learning objectives and tasks
* Collaboration and Communication:
* Work closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into actionable data science initiatives. * Communicate findings, insights, and recommendations to both technical and non-technical stakeholders effectively, enabling informed decision-making.

**

Qualifications**
* Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field.
* ‎3+ years of relevant work experience in NLP, data science, machine learning, or applied science.
* Strong programming skills in Python and experience with other programming languages like C#, C++ is a plus.
* Solid understanding of machine learning algorithms, generative AI technologies, statistics, and data modeling techniques.
* Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
* Experience with recommendation systems, collaborative filtering, and personalization algorithms is a plus.
* Proficiency in data manipulation, cleaning, and analysis using SQL and/or other data processing tools.
* Familiarity with A/B testing methodologies and experiment design.
* Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences.

Microsoft is an equal opportunity employer. Consistent with applicable law,
all qualified applicants will receive consideration for employment without
regard to age, ancestry, citizenship, color, family or medical care leave,
gender identity or expression, genetic information, immigration status,
marital status, medical condition, national origin, physical or mental
disability, political affiliation, protected veteran or military status, race,
ethnicity, religion, sex (including pregnancy), sexual orientation, or any
other characteristic protected by applicable local laws, regulations and
ordinances. If you need assistance and/or a reasonable accommodation due to a
disability during the application process, read more about requesting
accommodations.