1 day ago
Base Salary
$120k - $261k/yr
Responsibilities
- Lead the training of large language and multimodal models, including developing, managing, and debugging training workflows.
- Scale and optimize training runs by identifying and implementing efficiency improvements.
- Mentor team members and provide technical leadership in relevant areas of expertise.
- Advise on strategic direction and technical approaches for projects.
- Collaborate with researchers, domain experts, and cross-disciplinary teams to apply current research to impactful solutions.
Requirements
- Bachelor's degree in computer science or a related technical field and 4+ years of technical engineering experience in ML-related work, or equivalent experience.
- Preferred bachelor's degree and 4+ years of ML-related technical engineering experience, or a doctorate in computer science or a related technical field.
- Hands-on experience with distributed training of large language or multimodal models, optimizing training workflows, or model distillation.
- Deep experience with PyTorch or JAX.
- Experience designing, optimizing, and monitoring generative modeling training workflows.
- Familiarity with profiling training or inference code, identifying performance bottlenecks, and mitigating them.
- Experience with data-mix refinement, midtraining, post-training, data/model parallelism, training-run optimization, or model distillation.
- Ability to communicate complex technical concepts to broad audiences.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.