Stott and May · 2 weeks ago
Member of Technical Staff (ML Infrastructure)
Stott and May is partnering with a cutting-edge AI startup building next-generation infrastructure to power large-scale, intelligent systems. As a Member of Technical Staff (ML Infrastructure), you will design and scale systems for AI applications, working with a talented team to enhance performance and reliability.
Staffing Agency
Responsibilities
Design, build, and optimize high-performance ML infrastructure for large-scale training, inference, and evaluation
Develop and maintain distributed systems that power large compute clusters and AI networking
Streamline research workflows and accelerate experimentation by improving data pipelines (data collection, loading, SFT, RL)
Enhance inference performance across both open-source and proprietary inference engines
Establish strong engineering practices for observability, reliability, and scalability
Collaborate with researchers and product teams to translate cutting-edge ideas into robust, production-ready systems
Qualification
Required
Deep expertise in one or more of the following: inference optimization, GPU performance, cluster scheduling, or large-scale infrastructure
Strong experience with modern ML frameworks (e.g., PyTorch, vLLM, Verl)
Startup-ready mindset - high ownership, adaptability, and comfort working in fast-moving environments
Passion for bridging research and real-world impact
Company
Stott and May
Stott and May provides intelligent executive recruitment for organisations across the UK, Europe and North America.
H1B Sponsorship
Stott and May has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase