Staff ML Engineer, Ads Efficiency — Remote

Ladders; United States; Remote; USD 230,000 - 322,000; Full time

Benefits offered by this job

Global benefits

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Pension plan with employer match

Private medical & dental

Income protection

Bike to work

Flexible vacation

Parental leave

Job summary

Ladders is seeking a Staff Machine Learning Engineer, Ads ML Efficiency to join its team and tackle high-volume advertising workloads. You will design and optimize ML training, inference, and serving systems to improve efficiency, scalability, and reliability, working closely with ML researchers, product teams, and engineers to identify bottlenecks and deliver measurable performance gains across the platform.

Location: Remote – US-based candidates only; no visa sponsorship.

Qualifications

• 5+ years of software engineering experience.
• Proficiency in Python.
• Experience building distributed systems at scale.
• Experience with ML infrastructure, training systems, or model serving platforms.
• Deep understanding of performance engineering and systems optimization.

Responsibilities

• Design and build systems that improve the efficiency of ML training and inference workloads.
• Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
• Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.
• Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
• Build benchmarking frameworks and performance dashboards for training and serving systems.
• Optimize distributed training infrastructure, data pipelines, and model serving architectures.
• Lead cross-functional initiatives that improve the productivity of ML engineers.

Skills

Python

Distributed systems

Performance engineering

ML infrastructure

System optimization

Education

BS/MS/PhD in CS or related field

Tools

Go

C++

Rust

Java

Job description

Ladders is seeking a Staff Machine Learning Engineer, Ads ML Efficiency to join its team and tackle high-volume advertising workloads. You will design and optimize ML training, inference, and serving systems to improve efficiency, scalability, and reliability, working closely with ML researchers, product teams, and engineers to identify bottlenecks and deliver measurable performance gains across the platform.

Location: Remote – US-based candidates only; no visa sponsorship.