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.