Job Title: Member of Technical Staff Company Name: Cohere Job Details: Salary,not,providedPythonSparkPandasSenior,and,Expert,levelLondonNew,YorkParisSan,Francisco,Bay,AreaTorontoRemote,from,US,,Canada,,Europe,,UKMore,information,about,location Job Url: https://app.welcometothejungle.com/jobs/w-Mcs--H?theme=preferred-sector§or-id=29 Job Description: Role Who you are If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact 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 large-scale web datasets like CommonCrawl A passion for bridging research and engineering to solve complex data-related challenges in AI model training Desirable Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP) What the job involves As a Data Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models Your responsibilities will encompass the end-to-end management of training data, including ingestion, cleaning, filtering, and optimization, as well as data modeling to ensure datasets are structured and formatted for optimal model performance You will work with diverse data sources, such as web data, code data, and multilingual corpora, to ensure their quality, diversity, and reliability By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing Design and build scalable data pipelines to ingest, parse, filter, and optimize diverse web datasets Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency Research and implement innovative 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 Share this job Report a problem with this job Hide company View 63 more jobs at Cohere Insights Top investors 192% employee growth in 12 months Glassdoor (4) Company Company benefits Six weeks’ paid vacation Equity / stock options RRSP, 401(k), and Pension Scheme contributions Coverage for 100% of your insurance premiums across health, dental, vision, and travel Additional coverage for accessing mental health providers/services Six months of fully paid parental leave, including adoption and surrogacy Financial support for egg freezing and IVF in Canada and the UK A monthly fitness and wellness allowance Globally dispersed company that supports a remote work culture A $2,000 annual education benefit for professional development A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices A monthly arts and culture allowance A monthly quality time allowance Funding (last 2 of 7 rounds) Sep 2025 $100m LATE VC Aug 2025 $500m LATE VC Total funding: $1.5bn Our take Many businesses are now faced with the challenge of adopting advanced AI safely and securely. While AI tools like ChatGPT are making headlines, companies (especially those in regulated industries such as banking, telecoms, or government services) worry about privacy, compliance, and control over their sensitive data. Cohere addresses these concerns by offering AI solutions that can be trained on a company's internal data and, importantly, run on their own infrastructure rather than relying on external cloud providers. And in a world where data breaches and regulatory scrutiny are constant threats, this focus on trust and security is key. In a competitive landscape, dominated by giants like OpenAI, Google, and Elon Musk;'s xAI, Cohere is setting itself apart by targeting businesses exclusively. Its approach has earned it contracts with some big names, like Royal Bank of Canada, Fujitsu, LG, Oracle, and Dell. By focusing on reliability and enterprise adoption rather than viral consumer appeal, Cohere has carved out a strong niche for itself. This isn't going unnoticed either, as the company recently raised $500M, boosting its valuation to $6.8B, and brought on board top talent from MEta and Uber to strengthen its leadership team. Alongside this, its doubled its annual recurring reveneu to $100M in 2025 and is aiming to hit $200M by year-end. With its North platform for AI agents and a lean cost structure compared with larger rivals, Cohere is very much ready for more growth. Steph Company Specialist at Welcome to the Jungle