Member of Technical Staff – ML Ops

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 25%

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• Build and operate secure developer environments that remain controlled while accelerating developer velocity • Own container image build and CI/CD tooling • Instrument training code and build self-service tooling for researchers to diagnose failed runs • Establish infrastructure best practices through AI enablement, documentation, and office hours • Troubleshoot production failures and performance problems • Improve system operability after resolving issues • Build automation, infrastructure-as-code, and observability for a maintainable platform • Collaborate with AI researchers and ML engineers on stability, scalability, and observability • Support infrastructure and tools used to train, evaluate, and serve Cohere’s foundation models • Participate in a compensated 24x7 on-call rotation

🎯 Requirements

• Experience running a developer platform in production, including CI, image builds, developer environments, or internal tooling relied on by many engineers • Experience improving productivity for ML engineers or researchers without making the platform fragile • Sufficient Linux and Kubernetes knowledge to debug production systems • GPU cluster operations experience is a plus • Software development experience in Python or Go • Preference for extending solid open-source projects rather than rebuilding them • Experience working with researchers, ML engineers, or teams with differing goals • Experience identifying bottlenecks, proposing fixes, and driving implementation in a fast-moving environment • Availability for a compensated 24x7 on-call rotation • Authorization to work in the country of current residence • Must answer questions about Kubernetes at scale, ML/HPC infrastructure, GPU/TPU clusters, distributed training frameworks, and high-performance computing environments

🏖️ Benefits

• Weekly lunch stipend of $75/£75 or equivalent in local currency • Full health and dental benefits, including a separate mental health budget • RRSP matching, 401K, and Pension Scheme • 100% parental leave top-up for up to 6 months, for either parent • Annual enrichment benefits covering arts and culture, fitness/wellness, quality time, and workspace improvement credit • Education and learning stipend for conferences, courses, and coaching • 6 weeks of paid vacation (30 working days) • Budget for traveling to other offices if remote • Annual company offsite • Co-working benefit for employees not near an office • $500 home office stipend • Daily lunch program, snacks, and regular community and social events for office-based employees

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