Member of Technical Staff, Model Training (Infra & Platform)

🚀 MICRO1 IS HIRING | Member of Technical Staff, Model Training (Infra & Platform)

If you're the type of engineer who gets excited about distributed systems, GPU infrastructure, and scaling AI training pipelines, this role is worth a look.

💰 $200K–$320K Base Salary + Equity + Bonus
🌍 Remote

At Micro1, you'll help build the infrastructure powering large-scale AI research, training, and agent systems.

What You'll Work On
✅ Distributed training platforms (SFT, RL, OPD)
✅ GPU orchestration and inference infrastructure
✅ Agent execution frameworks and tooling
✅ Experiment tracking, model versioning, and observability
✅ High-performance distributed systems that accelerate AI research

What We're Looking For
🔹 Strong distributed systems and backend engineering experience
🔹 Python plus Go, Rust, or C++
🔹 Experience with GPU-based ML infrastructure
🔹 Knowledge of scalable APIs, cloud platforms, and system architecture
🔹 Proven technical ownership and leadership

Nice to Have
⭐ PyTorch Distributed
⭐ DeepSpeed
⭐ Ray
⭐ Megatron-LM
⭐ vLLM
⭐ Kubernetes
⭐ CUDA & NCCL
⭐ Reinforcement Learning Infrastructure

Why Join?
You'll be working on the systems that researchers rely on every day to train, evaluate, and deploy advanced AI models. This is a chance to solve hard infrastructure problems at the frontier of AI while collaborating with world-class engineers and researchers.

Know someone who has built large-scale distributed systems, ML infrastructure, or GPU platforms? Tag them below or share this opportunity.

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