Manager, Research Engineering (Foundational Research)
Core
Lead a team of Research Engineers to build distributed training infrastructure, LLMOps pipelines, and experimental frameworks for Large Language Models (LLMs) and Data-Centric Machine Learning.
Role type
Engineering Manager for Foundational Research
Builds
Distributed compute clusters, orchestration platforms, data pipelines, and experimental frameworks for LLM training and inference
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Engineering leadership and team mentorship, Python proficiency, Distributed Training infrastructure (Multi-node GPU, Kubernetes, vLLM), Deep Learning frameworks (PyTorch), MLOps tools (ClearML, MLFlow, Weights & Biases), Cloud resource management (AWS/Azure/GCP), Product-oriented mindset
Preferred skills
Experience in Research Lab or 0-to-1 innovation environments, End-to-end lifecycle ownership of internal developer platforms, Platform Engineering background, Open-source LLM/NLP library contributions
Technologies
Python, Kubernetes, vLLM, PyTorch, ClearML, MLFlow, Weights & Biases, AWS, Azure, GCP
Responsibilities
Manage and mentor a team of Research Engineers, Own technical strategy for LLM training and inference infrastructure, Lead evaluation and onboarding of external technology vendors, Act as translator between Research and Production teams, Drive product-oriented mindset for infrastructure and tooling, Implement observability and resource management strategies
Seniority
Manager, hands-on IC leadership
