Member of Technical Staff – Synthetic Data

🕒 March 18

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Cohere

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

• Design and build scalable inference pipelines that run on large GPU clusters. • Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance. • Research and implement innovative synthetic data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing. • Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.

🎯 Requirements

• Strong software engineering skills, with proficiency in Python and experience building data pipelines. • Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools. • Experience working with LLMs through work projects, open-source contributions or personal experimentation. • Familiarity with LLM inference frameworks such as vLLM and TensorRT. • Experience working with large-scale datasets, including web data, code data, and multilingual corpora. • A passion for bridging research and engineering to solve complex data-related challenges in AI model training. • Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

🏖️ 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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