Senior Machine Learning Engineer
Core
Build the infrastructure powering the development, evaluation, deployment, and continuous improvement of language models and AI systems.
Role type
Senior IC machine learning engineer (LLMOps & infrastructure)
Builds
LLMOps platforms, training/fine-tuning infrastructure, model serving, and observability systems
Domain
Enterprise readiness, government agencies, industrial suppliers
Deliverable
infrastructure
Required skills
Python, Kubernetes, cloud platforms (AWS/GCP/Azure), distributed systems, GPU infrastructure, LLM lifecycle, experiment management, data pipelines, model versioning, automated evaluation, observability
Preferred skills
Security clearance, startup environment, secure code execution, multi-agent architectures, reinforcement learning, AI security
Technologies
Python, Kubernetes, AWS, GCP, Azure, LoRA, QLoRA, distributed training
Responsibilities
Design and build LLMOps infrastructure; Build scalable training and fine-tuning infrastructure; Develop data pipelines for training and evaluation; Build systems for dataset versioning and lineage; Develop experiment management infrastructure; Build automated evaluation pipelines; Design model registries and artifact management; Build model-serving and inference infrastructure; Develop abstractions for multi-model usage; Build observability for training and inference; Optimize workloads for GPU utilization and cost; Build automated deployment workflows; Investigate infrastructure failures.
Seniority
Senior, hands-on IC
