Member of Technical Staff, Pre-Training Data Job at Cohere in New York
Cohere, New York, NY, United States
Member of Technical Staff, Pre-Training Data Join to apply for the Member of Technical Staff, Pre-Training Data role at Cohere.
Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role? As a Machine Learning 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, multilingual corpora, and synthetic data—to ensure their quality, diversity, and reliability.
In this role, you will design and implement scalable, robust pipelines for data processing, conduct data ablations to evaluate quality, and experiment with data mixtures to enhance model performance. 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. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
As a Machine Learning Engineer (Pre-Training Data), You Will
Design and build scalable data pipelines to ingest, clean, filter, and optimize diverse datasets, including web data, code data, multilingual corpora, and synthetic data.
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.
You May Be a Good Fit If You Have
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 datasets, including web data, code data, and multilingual corpora.
Knowledge of data quality assessment techniques and experimentation with data mixtures.
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).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees At Cohere Enjoy These Perks 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 6 months for employees based in Canada, the US, and the UK
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 and London and co-working stipend
6 weeks of vacation
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
Get notified about new Member of Technical Staff jobs in New York, NY.
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In Summary: Machine Learning Engineer specializing in pretraining data will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models . You will design and implement scalable, robust pipelines for data processing, conduct data ablations to evaluate quality, and experiment with data mixtures to enhance model performance .
En Español: Estamos capacitando y desplegando modelos de vanguardia para desarrolladores e empresas que están construyendo sistemas de IA para impulsar experiencias mágicas como la generación de contenidos, búsqueda semántica, RAG y agentes. Creemos que nuestro trabajo es fundamental para la adopción generalizada de AI. Nos obsesiona lo que construimos. Cada uno de nosotros es responsable de contribuir a aumentar las capacidades de nuestros modelos y el valor que generan para nuestros clientes. Nos gusta trabajar duro y movernos rápidamente para hacer lo mejor para nuestros usuarios. Cohere tiene un equipo de investigadores, ingenieros, diseñadores y más, que se especializan en manejar los datos bajo una perspectiva óptima. Trabajará con diversas fuentes de datos como los datos web, los datos del código, las corporaciones multilingües y los datos sintéticos para garantizar su calidad, diversidad y fiabilidad. En este papel diseñará e implementará tuberías escalables y sólidas para el procesamiento de datos, llevará a cabo ablaciones de datos para evaluar la calidad y experimentará con mezclas de data para mejorar el rendimiento del modelo. Combinando investigación e ingeniería, cerrará la brecha entre datos brutos y modelos de IA de vanguardia, contribuyendo directamente a mejoras en métricas críticas de capacitación como la utilización de potencia y aceleradores. Su trabajo será esencial para la misión de Cohere's de ofrecer capacidades eficientes y confiables de lenguaje y generación de innovación, comprendiendo el proceso de lengua natural. Si usted es apasionado por transformar los datos en la base de los sistemas de IA, este papel ofrece una oportunidad única para hacer un impacto significativo. Nota: Tenemos oficinas en Londres, París, Toronto, San Francisco y Nueva York pero también abrazamos ser amigable a distancia! No hay restricciones sobre dónde se puede ubicar para este rol. Como Ingeniero de Aprendizaje Automático (Datos Pre-Capacitación), Diseñarás y construirás tuberías de datos escalables para ingerir, limpiar, filtrar y optimizar conjuntos de datos diversos, incluidos datos web, datos de código, datos multilingües corpora y datos sintéticos. Tenemos oficinas de datos para evaluar la calidad de los datos y experimentar con mezclas de datos Apache para mejorar el rendimiento del modelo. ¡Si quieres desarrollar técnicas robustas de procesamiento de datos que aseguran estructuradas y formato cruzado para la eficiencia de entrenamiento. Damos la bienvenida a solicitantes de todos los orígenes y estamos comprometidos con proporcionar igualdad de oportunidades. Si necesita algún alojamiento durante el proceso de contratación, envíe un Formulario de Solicitud de Alojamiento, y trabajaremos juntos para satisfacer sus necesidades. Empleados a tiempo completo En Cohere Disfrute de estos beneficios Una cultura e entorno de trabajo abierto e inclusivo Trabajar estrechamente con un equipo de vanguardia en investigación sobre IA Stipendios semanales del almuerzo Semanal, comidas y bocadillos en las oficinas Beneficios sanitarios y dentales completos, incluido un presupuesto separado para cuidar su salud mental 100% Licencia parental complementaria por 6 meses para empleados basados en Canadá, EE.UU., y Reino Unido El mejoramiento personal Ingresar artes y cultura, fitness y bienestar, tiempo de calidad y mejora del espacio de trabajo
Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role? As a Machine Learning 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, multilingual corpora, and synthetic data—to ensure their quality, diversity, and reliability.
In this role, you will design and implement scalable, robust pipelines for data processing, conduct data ablations to evaluate quality, and experiment with data mixtures to enhance model performance. 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. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
As a Machine Learning Engineer (Pre-Training Data), You Will
Design and build scalable data pipelines to ingest, clean, filter, and optimize diverse datasets, including web data, code data, multilingual corpora, and synthetic data.
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.
You May Be a Good Fit If You Have
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 datasets, including web data, code data, and multilingual corpora.
Knowledge of data quality assessment techniques and experimentation with data mixtures.
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).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees At Cohere Enjoy These Perks 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 6 months for employees based in Canada, the US, and the UK
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 and London and co-working stipend
6 weeks of vacation
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
Get notified about new Member of Technical Staff jobs in New York, NY.
#J-18808-Ljbffr
In Summary: Machine Learning Engineer specializing in pretraining data will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models . You will design and implement scalable, robust pipelines for data processing, conduct data ablations to evaluate quality, and experiment with data mixtures to enhance model performance .
En Español: Estamos capacitando y desplegando modelos de vanguardia para desarrolladores e empresas que están construyendo sistemas de IA para impulsar experiencias mágicas como la generación de contenidos, búsqueda semántica, RAG y agentes. Creemos que nuestro trabajo es fundamental para la adopción generalizada de AI. Nos obsesiona lo que construimos. Cada uno de nosotros es responsable de contribuir a aumentar las capacidades de nuestros modelos y el valor que generan para nuestros clientes. Nos gusta trabajar duro y movernos rápidamente para hacer lo mejor para nuestros usuarios. Cohere tiene un equipo de investigadores, ingenieros, diseñadores y más, que se especializan en manejar los datos bajo una perspectiva óptima. Trabajará con diversas fuentes de datos como los datos web, los datos del código, las corporaciones multilingües y los datos sintéticos para garantizar su calidad, diversidad y fiabilidad. En este papel diseñará e implementará tuberías escalables y sólidas para el procesamiento de datos, llevará a cabo ablaciones de datos para evaluar la calidad y experimentará con mezclas de data para mejorar el rendimiento del modelo. Combinando investigación e ingeniería, cerrará la brecha entre datos brutos y modelos de IA de vanguardia, contribuyendo directamente a mejoras en métricas críticas de capacitación como la utilización de potencia y aceleradores. Su trabajo será esencial para la misión de Cohere's de ofrecer capacidades eficientes y confiables de lenguaje y generación de innovación, comprendiendo el proceso de lengua natural. Si usted es apasionado por transformar los datos en la base de los sistemas de IA, este papel ofrece una oportunidad única para hacer un impacto significativo. Nota: Tenemos oficinas en Londres, París, Toronto, San Francisco y Nueva York pero también abrazamos ser amigable a distancia! No hay restricciones sobre dónde se puede ubicar para este rol. Como Ingeniero de Aprendizaje Automático (Datos Pre-Capacitación), Diseñarás y construirás tuberías de datos escalables para ingerir, limpiar, filtrar y optimizar conjuntos de datos diversos, incluidos datos web, datos de código, datos multilingües corpora y datos sintéticos. Tenemos oficinas de datos para evaluar la calidad de los datos y experimentar con mezclas de datos Apache para mejorar el rendimiento del modelo. ¡Si quieres desarrollar técnicas robustas de procesamiento de datos que aseguran estructuradas y formato cruzado para la eficiencia de entrenamiento. Damos la bienvenida a solicitantes de todos los orígenes y estamos comprometidos con proporcionar igualdad de oportunidades. Si necesita algún alojamiento durante el proceso de contratación, envíe un Formulario de Solicitud de Alojamiento, y trabajaremos juntos para satisfacer sus necesidades. Empleados a tiempo completo En Cohere Disfrute de estos beneficios Una cultura e entorno de trabajo abierto e inclusivo Trabajar estrechamente con un equipo de vanguardia en investigación sobre IA Stipendios semanales del almuerzo Semanal, comidas y bocadillos en las oficinas Beneficios sanitarios y dentales completos, incluido un presupuesto separado para cuidar su salud mental 100% Licencia parental complementaria por 6 meses para empleados basados en Canadá, EE.UU., y Reino Unido El mejoramiento personal Ingresar artes y cultura, fitness y bienestar, tiempo de calidad y mejora del espacio de trabajo