Staff AI Systems Engineer - Pre-Training Infra

Reflection; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Top-tier compensation

Comprehensive health insurance

Fully paid parental leave

Paid time off

Daily lunch and dinner provided

Job summary

Reflection in Greater London is seeking a talented engineer to build and scale distributed training systems for cutting-edge machine learning models. The role involves optimizing GPU performance and collaborating with research teams to create efficient training infrastructures. Ideal candidates should have experience with modern distributed frameworks and large dataset pipelines. The position offers a strong compensation package, comprehensive health benefits, and a supportive work environment to do impactful work.

Qualifications

• Experience in building or operating large ML models.
• Strong familiarity with distributed training frameworks.
• Proven skills in optimizing ML workloads and GPUs.

Responsibilities

• Build and scale distributed training systems for ML models.
• Collaborate with researchers on large training runs.
• Optimize training throughput and efficiency across GPUs.

Skills

Experience building or operating distributed training systems for large machine learning models

Strong experience with modern distributed training frameworks

Familiarity with large-scale model parallelism strategies

Experience optimizing training throughput and GPU utilization

Familiarity with GPU communication libraries

Experience working closely with ML researchers

Strong debugging skills across GPU compute

Experience working with large datasets

Job description

Reflection in Greater London is seeking a talented engineer to build and scale distributed training systems for cutting-edge machine learning models. The role involves optimizing GPU performance and collaborating with research teams to create efficient training infrastructures. Ideal candidates should have experience with modern distributed frameworks and large dataset pipelines. The position offers a strong compensation package, comprehensive health benefits, and a supportive work environment to do impactful work.