Software Engineer, Data Infrastructure

🕒 May 15

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 52%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. • Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. • Collaborate daily with researchers and engineers who are some of the best in the world at what they do.

🎯 Requirements

• 4+ years of experience working on data storage infrastructure • Strong command of Python • Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.) • The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX • Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink • [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt • Genuine excitement about AI. • Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimize what already exists

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)

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