Principal Applied Data Scientist

Microsoft

Anywhere Remote only

Full time

Software Engineering / Software Developer

Jan 24

bout this role:

We are looking for an engineer who has a strong background in software engineering as well as developing machine learning algorithms for semantic search use cases. You will be responsible for leading the Yammer Search team and helping deliver the most relevant and contextual search experiences in Microsoft products such as Viva Engage and Yammer. You will be collaborating with multiple partner teams across Microsoft to surface this content in other high-traffic search platforms like Bing, Outlook, Teams and others. 

Our BE stack:

  • Linux on Azure
  • Java and Ruby microservices, deployed as docker containers
  • Graph QL, DropWizard, Rails REST APIs
  • Postgres/CosmosDB/Kafka/RabbitMQ/Redis storage and queuing
  • Mesos container orchestration, HAProxy-based service mesh
  • Wavefront metrics, Azure Data Explorer log aggregation, PagerDuty alerting
  • Azure ML and Synapse for ML model training

Responsibilities

  • Design, build, and maintain services with millions of users, operating in multiple global regions
  • Collaborate with product, design, and engineering to deliver a delightful experience
  • Continually seek deeper insights into the performance and scalability of our systems
  • Experiment, A/B test key hypothesis to make data-driven decisions
  • Improve service reliability, performance and latency
  • Collaborate with Data Analysts to define ML metrics
  • Build feature engineering pipeline and produce ML models for search
  • Lead cross-team collaboration effort to roll out large-scale ML models to Production

Qualifications

Basic Qualifications

  • Bachelor's or Masters degree in Computer Science or a related field
  • 8+ years of experience in software backend engineering
  • 5+ years of experience of building and deploying ML models
  • Solid ML background and familiarity with NLP and deep learning
  • Demonstrable expertise in dealing with big datasets
  • Knowledge of RDBMS programming
  • Java or Ruby, REST, python proficiency
  • Excellent programmer: your code is maintainable, and you write tests
  • Experience owning your code through production 

Preferred Qualifications/Attributes

  • MS or Ph.D. in ML or Data Science is a plus
  • Experience with a search engine is a plus
  • Curious about reliability and performance, up and down the stack
  • Microservices development, deployment, and monitoring
  • Experience building large-scale, resilient distributed systems
  • Efficient, tenacious debugging skills using logs and metrics
  • Demonstrated ability with Ruby on Rails is a plus but not necessary

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.


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