Member of Technical Staff, AI Pretraining
Job Summary
Job Description
Contribute to developing one of the world's best foundational AI models at Microsoft AI. The Pre-Training team focuses on challenging deep learning problems at scale. Responsibilities include developing algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a data-driven approach. This involves algorithmic implementation, experimentation, overseeing flagship training runs on a large-scale distributed stack, and close collaboration with infrastructure, data, post-training, and multimodality teams. The ideal candidate will have proven expertise in pre-training, demonstrated by a strong publication record and technical leadership in high-impact projects. Strong analytical skills, attention to detail, and experience with large-scale distributed systems are essential.
Must have:
- Expertise in AI pre-training
- Strong analytical & problem-solving skills
- Experience with large-scale distributed systems
- Proficiency in C/C++/C#/Java/JavaScript/Python
- Data-driven approach to algorithm development
Good to have:
- Experience with conversational AI
- Excellent communication and collaboration skills
- Passion for learning new technologies
9 skills required
Job Details
Job Description
Help deliver one of the best foundational models in the world at Microsoft AI.
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects
- Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making
- Have experience and/or in-depth understandings about large-scale distributed systems
- Demonstrate an ability to work collaboratively in a fast-paced, innovative environment
Responsibilities
- 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
- Collaborate closely with teams on infrastructure, data, post-training, and multimodality
- Embody our and .
Required/Minimum Qualifications
- · Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python
- Proven expertise in the area of pretraining
Additional or Preferred Qualifications
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- 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.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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