Phaidra - Senior AI Research Engineer

• Wear different hats across the research-to-production lifecycle: ML Engineer, ML-Ops Engineer, Software Engineer, and Performance Engineer. • Own and evolve our research infrastructure end-to-end, from experiment orchestration and distributed training to model tracking, evaluation, and automated deployment, so researchers can move from idea to validated result quickly. • Build and scale distributed compute for research workloads (e.g. Ray-based training and data pipelines on Kubernetes/GCP), including managing GPU capacity across zones/regions and keeping experiment infrastructure reliable and cost-efficient. • Improve the speed and quality of our R&D through performance engineering: vectorizing and parallelizing simulators and training code, profiling bottlenecks, and driving large speedups. • Deeply understand the capabilities and tools offered by Phaidra’s internal platform and how to utilize them to best serve our customers. • Maintain clear and concise documentation of your research, products and actions. • Participate in making decisions for the medium-to-long-term vision impacting Research and Phaidra. • Mentor peers and delegate tasks within the team, owning the project delivery. • Act as a point of contact between Research and Production engineering teams to productionize new breakthroughs rapidly. • You will be immersed in an onboarding program that introduces you to Phaidra, our product and our remote working norms. Your onboarding buddy will be there every step of the way. • You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra. • You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base. • You will learn about various team standards and development & release processes. • You will start to learn about our system architecture and infrastructure. • You will familiarize yourself with the tools used to manage customer onboarding and operations. • You will have a solid understanding of what Phaidra does and how we do it. • You will have met with team members across Phaidra and started building relationships that will help you be successful at your job. • You will have started a project to improve Phaidra’s R&D tooling and/or infrastructure • You will have been fully integrated in the team and with team members across the company. • You will have acquired a more in-depth understanding of our system architecture and infrastructure. • You will have identified process or tooling improvements and started bringing people together to work on solutions. • You will have become an expert with our systems. You will start to manage and own our tooling and infrastructure, seeing it accelerate our R&D efforts. • You will have started to contribute to knowledge sharing throughout Phaidra. • You will have delighted customers! • General Interview Process • All of our interviews are held via Google Meet, and an active camera connection is required. • Meeting with People Operations team member (30 minutes) • Meeting with Hiring Manager (30 minutes) • Algorithm & Data Structures Interview (60 minutes) • MLOps & System Design Interview with a Research Engineering team member (60 minutes) • Culture fit interview with Phaidra’s co-founders (30 minutes)