Description
Summary
Microsoft AI are looking for a talented Member of Technical Staff - Machine Learning (AI Team) at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.
About the Role
As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API.
Accountabilities
- Own and pursue a research agenda to improve model capability and performance for agentive application.
- Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across our research stack.
The Candidate we're looking for
Experience:
- Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Technical skills:
- Proficiency in machine learning, software engineering, and data science.
Personal attributes:
- Strong communication and teamwork skills.
Benefits
- Competitive salary range of $100,600 - $199,000 per year.
- Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.