ML & HPC Engineer: Low-Latency Research Platforms

Dex; Greater London; Presencial; GBP 90 000 - 120 000; Tempo integral

Resumo da oferta

Dex, in partnership with leading quantitative research firms, seeks an engineer to bridge ML research and HPC platforms. You will evaluate and integrate cutting-edge ML/HPC technologies, shaping platforms used by researchers to accelerate insights.

The role emphasizes practical implementation: optimize inference latency, benchmark distributed training, and collaborate with external vendors to influence roadmaps, delivering robust architectures from proofs-of-concept to production systems.

Qualificações

• A postgraduate degree in ML or related quantitative field, or equivalent commercial experience building ML systems at scale.
• Strong Python, PyTorch and NumPy skills.
• Deep expertise in optimization methods, modern ML techniques, high-performance computing, profiling, or model inference.
• Experience evaluating and integrating novel ML/HPC technologies, engaging with external experts and vendors.

Responsabilidades

• Evaluate and integrate cutting-edge ML accelerators and HPC technologies.
• Optimize model inference for extreme latency and throughput requirements.
• Benchmark distributed training setups, understanding networking and storage trade-offs.
• Engage directly with leading technology vendors, influencing their product roadmaps.
• Design and implement solutions, from rapid proofs-of-concept to robust system architectures.

Conhecimentos

Python programming

PyTorch

NumPy

ML optimization

HPC

Model inference

Formação académica

Postgraduate degree in ML

Descrição da oferta de emprego

Dex, in partnership with leading quantitative research firms, seeks an engineer to bridge ML research and HPC platforms. You will evaluate and integrate cutting-edge ML/HPC technologies, shaping platforms used by researchers to accelerate insights.

The role emphasizes practical implementation: optimize inference latency, benchmark distributed training, and collaborate with external vendors to influence roadmaps, delivering robust architectures from proofs-of-concept to production systems.