Senior AI Research Engineer

• Own and evolve research infrastructure end-to-end, from experiment orchestration and distributed training to model tracking, evaluation, and automated deployment.
• Build and scale distributed compute for research workloads, including managing GPU capacity and keeping experiment infrastructure reliable and cost-efficient.
• Improve the speed and quality of R&D through performance engineering, profiling bottlenecks, and driving large speedups.
• Act as a point of contact between Research and Production engineering teams to productionize new breakthroughs rapidly.

Phaidra's AI-powered control systems reduce energy consumption and improve efficiency in industrial facilities, directly contributing to climate change mitigation by lowering carbon emissions.

• 4+ years of progressive relevant work experience.
• Previous experience as a Software Engineer or Machine Learning Engineer in an ML R&D environment.
• Fluency in Python and solid understanding of lower-level languages like C++ and Rust.
• Strong engineering profile paired with scientific understanding (ML, optimization, control, or physical sciences).

Competitive compensation & meaningful equity; medical, dental, and vision insurance; unlimited PTO with minimum 20 days; paid parental leave; flexible stipends for workspace, well-being, and professional development; company MacBook; 100% remote work.

Base salary ranges (GBP): Tier 1 £126,289-£173,648; Tier 2 £113,660-£156,283; Tier 3 £102,294-£140,655; Tier 4 £92,065-£126,589.

Phaidra builds AI-powered control systems for the industrial sector, using reinforcement learning to enable facilities to automatically learn and improve over time, reducing energy use and emissions.