Transforming intelligent productivity
a key challenge in the field of artificial intelligence is developing models and algorithms that can adapt and improve based on user interactions and feedback. To address this challenge, we are seeking multiple data scientists and applied scientists to join our team.
as a key member of our team, you will collaborate closely with software engineers, product managers, and researchers to design, implement, and evaluate models and algorithms that continuously adapt and improve based on user interactions and feedback.
you will leverage advanced machine learning and information retrieval to predict and optimize memory content selection, representation, and lifecycle management.
your core mission will be to deliver exciting innovation in microsoft copilot, revolutionizing how people work and creating an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people.
we are seeking candidates with research skills and the desire to pursue the cutting edge in model development that pushes technological boundaries.
key requirements
* develop and evaluate ml 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.
* lead research projects that yield new algorithms, tools, or insights solving open problems.
* analyze evaluation outputs to identify gaps in coverage, quality, and usability.
* design experiments, define metrics, and develop ml pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.
* work with large-scale data while championing privacy and compliance.
* engage with customers and internal teams to identify pain points and drive impactful improvements.
to succeed in this role, you should have:
* 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.
* at least one year of experience publishing patents or peer-reviewed papers.
* deep motivation for user-centric ai and interest in human cognition, memory, and ai.
* global collaboration is integral to our work, and proficiency in english is essential for effective communication.