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Reflection

Member of Technical Staff - Compute Platform

London
Posted 3 months ago
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Member of Technical Staff - Compute Platform

Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

About The Role

Reflection’s Compute Platform team specializes in keeping our compute layer healthy and highly available. We run a K8s-based platform distributed across multiple neo-clouds. We manage multi-cloud scheduling, node health, and performance debugging at this scale presents genuinely hard systems problems. More broadly, you will work closely with Reflection's training teams to co-design fault tolerance, node health checks, and remediation strategies.

What You’ll Do

Cluster Management: Build and maintain tools for the automatic remediation, topology-aware scheduling, capacity planning and rapid hardware debugging. Platform Engineering: Design and iterate on our cluster management stack for workloads across large, multi-GPU fleets Monitoring & Observability: Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking. Roadmap Execution: Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes. Long-term, you will help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What We’re Looking For

Systems-level engineering experience with a focus on cluster-wide behavior and maintenance. Strong coding ability and a demonstrated focus on systems or GPU infrastructure. Deep GPU hardware knowledge beyond standard Kubernetes,e.g., familiarity with NCCL. Alignment with a K8s-first architecture Cloud storage expertise, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.

What We Offer

We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.

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We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally. Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance. Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning. Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Skills

Cluster Management
Platform Engineering
Monitoring
Observability
GPU Hardware Knowledge
Kubernetes
Cloud Storage Expertise
Data Replication
Performance Debugging
Capacity Planning
Fault Tolerance
Node Health Checks
Remediation Strategies
Multi-Cloud Scheduling
High-Performance Data Products

Location

London, England, United Kingdom

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