Description
Summary
Microsoft AI are looking for a talented Member of Technical Staff - Pre Training - MAI Superintelligence 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 - Pre Training - MAI Superintelligence Team, you will be responsible for developing algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations. You will drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack. You will collaborate closely with teams on infrastructure, data, post-training, and multimodality.
Accountabilities
- Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations.
- Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack.
The Candidate we're looking for
Experience:
- 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
Technical skills:
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
Personal attributes:
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
Benefits
- Competitive salary range: $119,800 - $234,700 per year.
- Benefits and other compensation.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.