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Senior Machine Learning Engineer, Core Systems
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-09-06
Listing for:
AI Breaking Wire
Full Time
position Listed on 2026-09-06
Job specializations:
-
Software Development
Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the Role
Anthropic is dedicated to building reliable, interpretable, and steerable AI systems. We are seeking a Senior ML Engineer to join our Core Systems team to optimize the training and inference infrastructure for our Claude family of foundation models.
Responsibilities- Architect and implement high-performance distributed training and inference pipelines for massive transformer models.
- Work hand-in-hand with research scientists to unblock scaling bottlenecks and improve hardware utilization.
- Develop low-latency inference runtimes and model optimization techniques (quantization, pruning, kernel fusion).
- Monitor and triage large-scale cluster performance issues across heterogeneous GPU clusters.
- 5+ years of software engineering experience with a strong focus on large-scale machine learning infrastructure.
- Expert-level C++ and Python programming skills.
- Deep familiarity with distributed training paradigms (FSDP, Tensor Parallelism, Pipeline Parallelism).
- Experience working with cloud providers (AWS, GCP) and orchestration tools like Kubernetes.
- Competitive salary and generous equity package.
- Premium medical, dental, and vision benefits.
- Flexible working hours and remote-friendly culture within the US.
- Annual learning and development stipend.
Position Requirements
10+ Years
work experience
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