Staff ML Engineer: Real-Time Multimodal Inference (Remote)
Inworld AI
Schweiz
On-site
CHF 100,000 - 140,000
Full time
14 days+
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Job summary
A leading AI research lab is seeking a highly skilled individual for a remote position in Switzerland focused on inference optimization and high-performance systems. The ideal candidate will have a PhD in a relevant field and experience with advanced techniques in machine learning. Responsibilities include clarifying complex problems and optimizing solutions for production. Proficiency in English is essential for collaboration across teams. This role does not offer visa sponsorship but may provide relocation support in the future.
Qualifications
Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
Hands-on experience with quantization, distillation, and caching strategies.
Proficiency in C++, CUDA, Rust, or optimized Python.
Responsibilities
Make unclear problems clear and design benchmarks or prototypes.
Optimize models for production and ensure reliability.
Collaborate closely with US-based leadership and engineering teams.
Skills
Inference Optimization
Model Acceleration
High-Performance Systems
Distributed Systems & Scaling
Public work
Full-cycle ownership
Strong problem-solving skills
Professional fluency in English
Education
PhD in CS, Physics, Math, or equivalent
Job description
A leading AI research lab is seeking a highly skilled individual for a remote position in Switzerland focused on inference optimization and high-performance systems. The ideal candidate will have a PhD in a relevant field and experience with advanced techniques in machine learning. Responsibilities include clarifying complex problems and optimizing solutions for production. Proficiency in English is essential for collaboration across teams. This role does not offer visa sponsorship but may provide relocation support in the future.