Microsoft AI are looking for a talented Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

Accountabilities

• Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
• Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ 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:

• Experience in distributed computing and large-scale systems.
• Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.

Personal attributes:

• Proven ability to profile, benchmark, and optimize performance-critical systems.
• Experience in leading technical projects and supporting architectural decisions with data.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI projects.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Pre Training - MAI Superintelligence Team at their New York 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

• Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
• Certain roles may be eligible for benefits and other compensation.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

Accountabilities

• Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
• Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ 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:

• Experience in distributed computing and large-scale systems.
• Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.

Personal attributes:

• Proven ability to profile, benchmark, and optimize performance-critical systems.
• Experience in leading technical projects and supporting architectural decisions with data.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI projects.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Pre Training - MAI Superintelligence Team at their Redmond 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

• Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
• Certain roles may be eligible for benefits and other compensation.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

Accountabilities

• Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
• Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ 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:

• Experience in distributed computing and large-scale systems.
• Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.

Personal attributes:

• Proven ability to profile, benchmark, and optimize performance-critical systems.
• Experience in leading technical projects and supporting architectural decisions with data.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI projects.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub