Senior Applied Scientist / Senior Software Engineer

Microsoft Corporation; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Senior Applied Scientist, where you will leverage advanced LLMs to enhance monitoring solutions for Business Chat Copilot. In this exciting role, you will design quality checks, analyze customer traffic data, and collaborate with cross-functional teams to drive product performance improvements. Your expertise in anomaly detection and machine learning will be pivotal in ensuring the reliability of large-scale applications. This innovative firm offers a dynamic work environment, opportunities for professional growth, and the chance to shape the future of AI-driven analytics.

Serviços

Industry leading healthcare

Educational resources

Discounts on products and services

Savings and investments

Maternity and paternity leave

Generous time away

Giving programs

Opportunities to network and connect

Qualificações

• Deep understanding of LLMs and experience in software deployed in production.
• Strong analytical and problem-solving skills are essential.

Responsabilidades

• Build AI-driven monitoring solutions leveraging LLMs for evaluation.
• Design quality metrics to improve monitoring efficiency and accuracy.
• Apply anomaly detection techniques to identify performance issues.

Conhecimentos

LLMs (Large Language Models)

Anomaly Detection

Machine Learning Pipelines

Predictive Analytics

Statistical Analysis

Collaboration

Formação académica

Bachelor's Degree in Statistics or related field

Master's Degree in Statistics or related field

Doctorate in Statistics or related field

Descrição da oferta de emprego

Senior Applied Scientist / Senior Software Engineer

Multiple Locations, Mexico

Date posted: Oct 24, 2024

Job number: 1776575

Work site: Up to 100% work from home

Travel: 0-25%

Role type: Research, Applied, & Data Sciences

Employment type: Full-Time

Overview

The Search & Business Chat Analytics and Monitoring Team within the Substrate Intelligence Science Organization is at the forefront of ensuring monitoring and analytics for Business Chat Copilot for quality of responses, utilizing advanced LLM-powered metrics for active and passive monitoring as well as tracking metric movement to assess quality of business chat copilot. This role will be based in LATAM.

As a Senior Applied Scientist, you will be responsible for designing quality checks that evaluate Business Chat Copilot features across different flights, builds, and rings. Additionally, you will process and analyze vast amounts of customer traffic data from MDP, MSIT, and WW environments, producing valuable insights that will drive enhancements in product performance and user experience. You will directly influence the quality of Business Chat Copilot and impact teams across multiple regions.

Key qualifications include a deep understanding of LLMs, expertise in anomaly detection, and experience building and maintaining robust machine learning pipelines. Strong analytical thinking, problem-solving skills, and the ability to work in a collaborative, fast-paced environment are essential for success in this role.

Join us in shaping the future of business chat copilot.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate 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 equivalent experience.
  • 2+ years experience in software deployed in production.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Responsibilities

• You will build AI-driven monitoring solutions leveraging LLMs to generate content at scale for evaluation, ensuring insights are accurate and impactful.
• You will design and calibrate advanced quality metrics that improve the accuracy and efficiency of monitoring for large-scale applications.
• You are expected to apply anomaly detection techniques to identify performance issues and outages, ensuring the reliability and smooth operation of our systems.
• You will work with cross-functional teams, including product managers, data scientists, and engineers, to refine models and deliver actionable insights.
• You will learn cutting-edge LLM techniques and stay at the forefront of AI-driven monitoring and analytics for large-scale business applications.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work:

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

Microsoft is an equal opportunity employer. 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.