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.
