Senior ML Systems Engineer

Senior ML Systems Engineer Overview

This position offers an exciting opportunity for a Senior ML Systems Engineer based in London, England, with a competitive salary. The role is with a well-funded, research-driven organization that is at the forefront of large-scale machine learning infrastructure.

Key Responsibilities

• Develop simulation models to analyze compute, memory, interconnect, and communication behaviors in extensive ML systems.
• Create tools for simulating training and inference workloads across distributed accelerator clusters.
• Model distributed execution patterns, including collectives, synchronization, and communication bottlenecks.
• Conduct experiments and benchmarks on actual ML systems to calibrate and validate simulation models.
• Evaluate end-to-end performance metrics such as throughput, latency, scaling efficiency, and cost/performance trade-offs.
• Collaborate with hardware, software, networking, and ML teams to share insights and provide design recommendations.

Requirements

• Master’s or PhD in Computer Science, Electrical or Computer Engineering, or a related discipline.
• Strong foundation in ML systems, distributed systems, performance engineering, or simulation.
• Experience in analyzing compute, communication, and memory behaviors in large-scale ML systems.
• Hands-on experience with benchmarking, profiling, and measuring ML systems.
• Familiarity with distributed training concepts, including data/tensor/pipeline parallelism, collectives, and synchronization.
• Proficiency in programming languages such as Python, C++, or Rust.

Benefits

• Competitive salary package.
• Opportunity to work in a research-driven environment at the forefront of ML infrastructure.

Degree Requirement: Not Specified

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