Staff Machine Learning Engineer (AI)

Quick Facts

• Role: Staff Machine Learning Engineer (AI)

• Work mode: 100% Remote (US only)

• Assessment: 60-minute coding assessment (required)

Description

You own the execution layer of intelligence and translate research into reliable, scalable, production-grade machine learning systems. You will make models trainable, deployable, observable, and performant under real-world constraints while collaborating across research, infrastructure, and product.

Responsibilities

• Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment

• Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation

• Architect and operate scalable inference systems balancing latency, cost, and reliability

• Design and maintain data systems for synthetic and real-world training data

• Implement evaluation pipelines for performance, robustness, safety, and bias with research leadership

• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling

• Collaborate with application engineering to integrate ML systems into backend and client products

• Make pragmatic trade-offs, ship improvements quickly, and learn from production usage

• Operate under production constraints for latency, cost, reliability, and safety

Requirements

• Experience building or shipping ML systems used by people (not just demos)

• AI experience required

• Experience working with large models and understanding their failure modes

• Experience writing strong, production-grade code

• Self-directed, pragmatic, and able to take full ownership of outcomes

• Clear communication and good collaboration in small, high-trust teams

• US residency with proof and willingness to complete a 60-minute coding assessment

Benefits

• Medical insurance

• Dental

• Vision

• Savings plan options

• PTO