Building Scalable AI Solutions

Há 2 dias

Salvador, Bahia, Brasil beBeeEngineer Tempo inteiro US$120.000 - US$150.000
Machine Learning Engineer Role

Our organization is seeking multiple Machine Learning Engineers to join our team in a remote capacity. These roles offer the flexibility to work from the comfort of your home.

Key Responsibilities:
  • Develop and evaluate machine learning models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.
  • Write production-quality code, apply debugging best practices, and stay current with industry trends.
  • Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.
  • Collaborate cross-functionally to define success metrics and improve AI quality at scale.
About The Team:

The team powers the infrastructure that underpins Microsoft's most critical services and Copilot. We are a high-impact, forward-looking team focused on building intelligent, scalable, and cost-efficient platforms that enable world-class productivity experiences to billions of users.

Delivering exciting innovation in Microsoft Copilot will be your core mission. This revolutionizes how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people.

What You Will Learn:
  • You will help transform how Copilot features are evaluated and improved. Your team will deliver end-to-end experimentation, evaluation, and insights to engineers, product managers, and fellow scientists.
  • You'll work on the data generation platform that creates algorithms and ML pipelines for simulating user actions and datasets that reflect real-world usage and user preferences and develop metrics that go beyond accuracy – capturing nuance, intent, and satisfaction.
Requirements:
  • Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.
  • 4+ years of experience in predictive analytics, statistics, or research.
  • Experience with synthetic data generation and data management for evaluation/training.

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