Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their MAI Superintelligence Team in New York. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI research and development. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

Our Inference team is responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. Our work empowers researchers to run models in RL, synthetic data generation, evals, and more. We are joint stewards of one of the largest compute fleets in the world. The team is responsible for optimizing compute efficiency on our heterogeneous data centers as well as enabling cutting-edge research and production deployment. We are an applied research team that is embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. We are vertically integrated, owning everything from kernels to architecture co-design to distributed systems to profiling and testing tools.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas.
• Introduce new systems, tools, and techniques to improve model inference performance.
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues.
• Build tools and establish processes to enhance the team’s collective productivity.

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 with generative AI.
• Experience with distributed computing.
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise.

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their team in Redmond. This role will involve working alongside researchers and engineers to implement frontier AI research ideas and introduce new systems, tools, and techniques to improve model inference performance.

About the Role

As a Member of Technical Staff, LLM Inference, you will be responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. This will involve working on a variety of tasks, including building tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues. You will also be responsible for building tools and establishing processes to enhance the team's collective productivity.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas
• Introduce new systems, tools, and techniques to improve model inference performance
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues
• Build tools and establish processes to enhance the team's collective productivity

The Candidate we're looking for

Experience:

• 6+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience with generative AI
• Experience with distributed computing
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their MAI Superintelligence Team. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI research and development. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

Our Inference team is responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. Our work empowers researchers to run models in RL, synthetic data generation, evals, and more. We are joint stewards of one of the largest compute fleets in the world. The team is responsible for optimizing compute efficiency on our heterogeneous data centers as well as enabling cutting-edge research and production deployment. We are an applied research team that is embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. We are vertically integrated, owning everything from kernels to architecture co-design to distributed systems to profiling and testing tools.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas.
• Introduce new systems, tools, and techniques to improve model inference performance.
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues.
• Build tools and establish processes to enhance the team’s collective productivity.

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 with generative AI.
• Experience with distributed computing.
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise.

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end.
• Value clear communication, improving team processes, and being a supportive team player.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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What you'll do

As an AI Inference Engineer at Perplexity, you will have the opportunity to work on large-scale deployment of machine learning models for real-time inference. You will be responsible for developing APIs for AI inference that will be used by both internal and external customers.

• Develop APIs for AI inference that will be used by both internal and external customers
• Benchmark and address bottlenecks throughout our inference stack
• Improve the reliability and observability of our systems and respond to system outages
• Explore novel research and implement LLM inference optimisations

What you need

To be successful in this role, you will need to have experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX), familiarity with common LLM architectures and inference optimisation techniques (e.g. continuous batching, quantisation, etc.), and understanding of GPU architectures or experience with GPU kernel programming using CUDA.

• Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
• Familiarity with common LLM architectures and inference optimisation techniques (e.g. continuous batching, quantisation, etc.)
• Understanding of GPU architectures or experience with GPU kernel programming using CUDA

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