Senior AI Research Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇬🇧 United Kingdom – Remote

💵 £92.1k - £173.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Phaidra

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

📦 Logistics

🏗️ Construction

Manufacturing • Logistics • Construction

Phaidra is a company providing artificial intelligence controls to optimize mission-critical facilities such as data centers and industrial plants. Their closed-loop AI control service enhances plant stability, energy efficiency, and sustainability by reducing downtime, increasing productivity, and lowering CO2 emissions. Unlike traditional control systems, Phaidra's AI-driven controls continuously learn and improve over time without the need for new hardware. The system provides real-time optimization and integrates with existing control systems, enhancing safety and operational stability while providing full transparency of performance data. Phaidra uses cutting-edge deep reinforcement learning techniques to deliver exceptional results in some of the world's toughest challenges, including significant energy savings in Google's data centers.

📋 Description

• 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.

🎯 Requirements

• 4+ years of progressive relevant work experience. • Previous experience in leading projects and owning delivery end-to-end. • Previous experience as a Software Engineer or Machine Learning Engineer in an ML R&D environment, ideally bridging research and production. • Understanding of ML and ML-Ops concepts and ability to reason about systems with non-deterministic components. • Solid grasp of ML and ML-Ops concepts — experiment tracking, model registries/deployment, and the ability to reason about systems with non-deterministic components. • Fluency in a high level programming language, preferably Python. • A solid understanding of lower level programming languages such as C++ and Rust. • A strong engineering profile paired with a general scientific understanding (e.g. ML, optimization, control, or the physical sciences), so you can grow alongside our rapidly changing priorities and quickly go deep in unfamiliar domains. • Natural curiosity; desire to learn, go deep and problem-solve in new domains. • Excited to see the real world impact of your work; celebrate the success of your customers as your own. • Exceptional organizational and communications skills. • Alignment with Phaidra’s values: transparency, collaboration, operational excellence, ownership, empathy.

🏖️ Benefits

• Fast-paced, team-oriented environment where your work directly shapes the company’s direction. • We are a 100% remote company. • Competitive compensation & meaningful equity. • Outsized responsibilities & professional development. • Training is foundational; functional, customer immersion, and development training. • Medical, dental, and vision insurance (exact benefits vary by region). • Unlimited paid time off, with a required minimum of 20 days per year. • Paid parental leave (exact benefits vary by region). • Flexible stipends to support your workspace, well-being, and continued professional development. • Company MacBook.