AI/ML Scientist — Quantization & Numerical Robustness

Responsibilities

We are representing a confidential AI hardware organization seeking an AI/ML Scientist to focus on quantization and numerical robustness. In this role, you will:

• Design and execute large-scale experiments to characterize model sensitivity to analog noise, reduced precision, and hardware non-idealities
• Develop and validate numerical and noise models representative of custom accelerator behavior
• Research and implement quantization approaches spanning training, fine-tuning, post-training, and runtime techniques
• Identify model-, layer-, and operator-level precision requirements and provide recommendations to hardware and software teams
• Optimize trade-offs between model quality, numerical robustness, and inference performance
• Collaborate closely with hardware, compiler, runtime, and inference teams to translate research findings into production capabilities

What We're Looking For

• Strong background in mathematics, physics, computer science, or a related quantitative field, with solid foundations in numerical methods, probability, and statistics
• Deep experience with ML quantization techniques, including PTQ, QAT, quantization-aware fine-tuning, mixed precision, and low-bit weight/activation formats
• Experience studying the impact of numerical precision, approximation, perturbations, or hardware noise on model accuracy and stability
• Strong understanding of modern model architectures, including LLMs, diffusion models, multimodal/video models, and/or world models
• Ability to design rigorous, large-scale experiments and analyze accuracy/robustness trade-offs across models, layers, operators, and numerical formats
• Good understanding of accelerator architecture, inference performance, memory/computation trade-offs, and the interaction between model-level techniques and hardware efficiency
• Strong Python/PyTorch skills; experience with custom operators, simulators, emerging accelerator stacks, or research prototypes is a strong plus
• Proficient English required; French is a plus
• Based in or willing to relocate to Paris

How We Work with You

Our talent team at Get A Job.ai partners with innovative organizations to connect exceptional candidates with confidential opportunities. When you apply through our platform, a dedicated recruiter will review your background and conduct an initial screen. If there's a strong match, we will submit your profile to our client and guide you through their interview process. Please do not attempt to contact the client directly, as all applications must come through Get A Job.ai to be considered.

Pay

Compensation details will be discussed during the screening process and are competitive based on location, experience, and market benchmarks for similar roles in the AI hardware space.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome candidates from all backgrounds and work with clients who share our commitment to building diverse teams.