Intelligent Productivity Expert

We are seeking a skilled Data Scientist to join our team and contribute to the development of personalized, context-aware experiences that empower millions of users. Your work will directly impact our cloud services, enabling innovative productivity tools that shape the future of intelligent applications.

This is a unique opportunity to work at the forefront of applied AI and machine learning, collaborating with cross-functional teams to drive customer-centric solutions. You will have the chance to develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.

• Key Responsibilities:
• Develop production-quality code and apply debugging best practices to ensure optimal performance.
• Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.
• Collaborate with internal teams to identify pain points and drive impactful improvements.
• Stay engaged with the latest research and foster a strong applied science culture.

Qualifications:

• 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.

Preferred Qualifications:

• Master's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.
• Experience with large-scale embedding models and transformer architectures.
• Familiarity with reinforcement learning and distributed computing platforms (e.g., Heron, AML, Euclid).
• Proficient analytical skills and experience with telemetry and performance metrics.
• DevOps experience and cloud services knowledge (Azure preferred).
• Agile development experience and a structured approach to software design.

Growth Mindset:

Commitment to diversity, inclusion, and authentic collaboration.

Effective communication skills with the ability to engage diverse audiences.

Ownership mindset with the ability to deliver results and manage expectations.

Self-motivated and collaborative across teams and organizations.