Research Engineer, Model Inference & Serving - Paris

H Company; Paris; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Opportunities for professional growth

Collaborative multicultural team

Job summary

H Company is seeking a skilled AI Engineer to develop scalable inference pipelines in Paris. Candidates should possess a MS or PhD in Computer Science or Machine Learning, along with proficiency in Python, Rust, or C/C++. The role emphasizes collaboration with research teams and optimizing GPU performance for low-latency tasks. A competitive salary and opportunities for professional growth are offered. The position operates in a hybrid model requiring presence in the office three days a week.

Qualifications

• Proficient in one of the programming languages: Python, Rust or C/C++.
• Experience in GPU programming such as CUDA and Open AI Triton.
• Experience in model compression and quantization techniques.

Responsibilities

• Develop scalable, low-latency and cost effective inference pipelines.
• Optimize model performance: memory usage, throughput, and latency.
• Collaborate with H research teams on model architectures.

Skills

Programming in Python, Rust, or C/C++

GPU programming (CUDA, Open AI Triton)

Model compression and quantization techniques

Strong communication and presentation skills

Collaborative mindset

Education

MS or PhD in Computer Science, Machine Learning

Tools

Pytorch

ONNX Runtime

CUDA

Job description

Overview

H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

About the Team

The Inference team develops and enhances the inference stack for serving H-models that power our agent technology. The team focuses on optimizing hardware utilization to reach high throughput, low latency and cost efficiency in order to deliver a seamless user experience.

Key Responsibilities

• Develop scalable, low-latency and cost effective inference pipelines
• Optimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanisms
• Develop specialized GPU kernels for performance-critical tasks like attention mechanisms, matrix multiplications, etc.
• Collaborate with H research teams on model architectures to enhance efficiency during inference
• Review state-of-the-art papers to improve memory usage, throughput and latency (Flash attention, Paged Attention, Continuous batching, etc.)
• Prioritize and implement state-of-the-art inference techniques

Requirements

• Technical skills:
  • MS or PhD in Computer Science, Machine Learning or related fields
  • Proficient in at least one of the following programming languages: Python, Rust or C/C++
  • Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.
  • Experience in model compression and quantization techniques
• Soft skills
  • Collaborative mindset, thriving in dynamic, multidisciplinary teams
  • Strong communication and presentation skills
  • Eager to explore new challenges
• Bonuses
  • Experience with LLM serving frameworks such as vLLM, TensorRT-LLM, SGLang, llama.cpp, etc.
  • Experience with CUDA kernel programming and NCCL
  • Experience in deep learning inference framework (Pytorch/execuTorch, ONNX Runtime, GGML, etc.)

Location

• Paris or London
• This role is hybrid, and you are expected to be in the office 3 days a week on average
• The final decision for this will lie with the hiring manager for each individual role

What we offer

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
• Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
• Enjoy a competitive salary
• Unlock opportunities for professional growth, continuous learning, and career development