Senior ML Engineer — Distributed LLM Training Infrastructure

Remote R

A USD 180K-250K (estimate) Senior-level Full Time

@ R...

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Found 1d ago

Tasks

Architect distributed LLM training infrastructure
Architect end to end training pipelines from data ingestion to deployment
Build Kubernetes and Docker containerized systems
Build benchmarking and performance regression suites
Build fault tolerant checkpointing and node failure recovery
Build resource managers schedulers and profiling tools
Design model sharding for large parameter spaces
Develop communication backends for unreliable networks
Develop observability and monitoring tools
Extend distributed training frameworks for permissionless multi party training
Implement CI CD pipelines for distributed infrastructure
Implement gradient compression, quantization, and sparsification
Implement mixed precision gradient accumulation and fused kernels
Implement model parallelism and efficient gradient synchronization
Optimize GPU memory and operations with CUDA kernels
Profile and optimize throughput memory and communication patterns

Perks/Benefits

Skills/Tech-stack

Education

Bachelor of Science | Master of Science

Roles

Engineer | Learning Engineer | Machine Learning Engineer | Senior Machine Learning Engineer

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