Remote Staff ML Engineer — End-to-End Production Systems Lead

Protingent; Washington; Hybrid; USD 180,000 - 250,000; Full time

Job summary

Protingent Staffing is seeking a Staff Machine Learning Engineer to own end-to-end ML system execution, from data pipelines to deployment, for production use.

You will fine-tune models with LoRA/QLoRA, design scalable inference, and build robust evaluation pipelines with research leadership. This remote role demands strong coding and ownership across research, infra, and product teams.

Qualifications

• Experience building real ML systems used in production.
• Ability to handle large models and understand failure modes.
• Strong production-grade coding and system correctness.

Responsibilities

• Own end-to-end ML system execution, including data pipelines and deployment.
• Fine-tune models with LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems balancing latency and cost.
• Design and maintain data systems for synthetic and real training data.
• Implement evaluation pipelines for performance, robustness, safety, and bias.
• Collaborate with application teams to integrate ML into products.
• Ship improvements quickly under production constraints.
• Detect and resolve production issues to minimize user impact.
• Iterate on models to improve user experience over time.
• Support teammates and align on high-impact ML work.

Skills

Python

PyTorch / JAX

GPU-based training & inference

Job description

Protingent Staffing is seeking a Staff Machine Learning Engineer to own end-to-end ML system execution, from data pipelines to deployment, for production use.

You will fine-tune models with LoRA/QLoRA, design scalable inference, and build robust evaluation pipelines with research leadership. This remote role demands strong coding and ownership across research, infra, and product teams.