Senior Machine Learning Engineer - GenAI Platform Job at Menlo Ventures in San F
Menlo Ventures, San Francisco, CA, United States
P-984
Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine‑tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high‑quality AI models should be available to all.
Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.
Summary
Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer‑facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent‑building.
You will thrive in this role if you have a strong sense of end‑to‑end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user‑facing features to low‑level GPU orchestration.
You will
Play a key role in the end‑to‑end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models
Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform
Have strong end‑to‑end product ownership, translating product requirements into user interfaces and backend distributed system design and own end‑to‑end implementation
Design and build the core platform infrastructure that supports our customer‑facing product features
Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product
We look for
4+ years of hands‑on programming experience with at least one modern language such as Python, Scala, Go, or C++
Strong sense of distributed systems design and experience building large‑scale systems
Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving
Direct experience developing ML models is a plus but not required
Strong sense of end‑to‑end product ownership as well as intuition for both robust system design and product usability
Effective communication skills and the ability to articulate complex technical ideas to cross‑disciplinary internal and external stakeholders.
We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$166,000 — $225,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr
In Summary: Mosaic AI is hiring experienced machine learning platform engineers to build out our customer‑facing generative AI platform for the ML development lifecycle . We look for 4+ years of hands‑on programming experience with at least one modern language such as Python, Scala, Go, or C++ . You will thrive in this role if you have a strong sense of end‑to‑end ownership .
En Español: P-984 Fundado a finales de 2020 por un pequeño grupo de ingenieros e investigadores de aprendizaje automático, Mosaic AI permite a las empresas ajustar en forma segura, entrenar y desplegar modelos personalizados de IA sobre sus propios datos, para la máxima seguridad y control. Compatible con todos los principales proveedores de nube, la plataforma de IA Mosaic proporciona la máxima flexibilidad para el desarrollo de IA. Introducido en 2023, los modelos de transformador preentrenados de MosaicAI han establecido un nuevo estándar para LLM abiertos y comerciales utilizables y se han descargado más de 3 millones de veces. Aprovechamos cada oportunidad para resolver desafíos técnicos, esforzándonos por capacitar a nuestros clientes con las mejores capacidades de datos y IA. Resumen Databricks Mosaic AI está contratando ingenieros experimentados en plataformas de aprendizaje automático para desarrollar nuestra plataforma generativa de inteligencia artificial orientada al cliente para el ciclo de vida del desarrollo ML que incluye la generación de datos, capacitación, evaluación, servicio y construcción de agentes. Prosperará en este papel si tiene un fuerte sentido de propiedad de extremo a extremo y disfruta de traducir los requisitos del usuario en interfaces de productos y construir los sistemas distribuidos backend para alimentar esas interfases. En este papel, tendrá la oportunidad de contribuir a todas las áreas de nuestra pila que abarcan desde el diseño y la implementación de sistemas distribuidos en función del usuario hasta la orquestación de GPU de bajo nivel. desempeñará un papel clave en el diseños e implementaciones de nuestro producto, que es una plataforma para impulsar casos de uso a través del entrenamiento y servicio de modelos generativos de IA Trabajar estrechamente con los clientes e investigadores internos de ML para identificar áreas claves de desarrollo de nuestra plataforma generativa de AI Tener una sólida propiedad de productos de extremo a extremo, traducir los requisitos del producto en interfaces de usuario y back-end al diseño de sistemas distributados y implementar su propio end-to-end Diseñar y construir la infraestructura principal de plataformas que respalda nuestras características orientadas al cliente Asegurar la fiabilidad, seguridad y escalabilidad de los sistemas de retroalimentación distribuidos que alimentan todos los aspectos de las prácticas transversales de nuestros productos Buscamos más de 4 años de experiencia profesional en un programa de uso moderno de productos como Python, Scala o C++ pero estamos dispuestos a desarrollar nuevas tecnologías de gestión de datos, así como solucionar problemas de conocimientos técnicos y capacidades para crear sistemas de trabajo integrados, además de mejorar la capacidad de aprendizaje, etc. Los paquetes de compensación reales se basan en varios factores que son únicos para cada candidato, incluidos pero no limitados a habilidades relacionadas con el trabajo, profundidad de experiencia, certificaciones y capacitación relevantes y ubicación específica del trabajo. Basándose en los factores anteriores, Databricks anticipa utilizar la amplia gama completa del rango. El paquete total de remuneración para este puesto también puede incluir elegibilidad para una bonificación anual de rendimiento, equidad y beneficios enumerados anteriormente. Para obtener más información sobre qué rango está su ubicación visite nuestra página aquí. Para obtener detalles específicos sobre los beneficios ofrecidos en su región, visite https://www.mybenefitsnow.com/databricks. Nuestro Compromiso con la Diversidad e Inclusión En Databricks estamos comprometidos a fomentar una cultura diversa e inclusiva donde todos puedan sobresalir. Nos preocupamos mucho por garantizar que nuestras prácticas de contratación sean inclusivas y cumplan las mismas normas de oportunidades laborales.
Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine‑tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high‑quality AI models should be available to all.
Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.
Summary
Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer‑facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent‑building.
You will thrive in this role if you have a strong sense of end‑to‑end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user‑facing features to low‑level GPU orchestration.
You will
Play a key role in the end‑to‑end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models
Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform
Have strong end‑to‑end product ownership, translating product requirements into user interfaces and backend distributed system design and own end‑to‑end implementation
Design and build the core platform infrastructure that supports our customer‑facing product features
Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product
We look for
4+ years of hands‑on programming experience with at least one modern language such as Python, Scala, Go, or C++
Strong sense of distributed systems design and experience building large‑scale systems
Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving
Direct experience developing ML models is a plus but not required
Strong sense of end‑to‑end product ownership as well as intuition for both robust system design and product usability
Effective communication skills and the ability to articulate complex technical ideas to cross‑disciplinary internal and external stakeholders.
We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$166,000 — $225,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr
In Summary: Mosaic AI is hiring experienced machine learning platform engineers to build out our customer‑facing generative AI platform for the ML development lifecycle . We look for 4+ years of hands‑on programming experience with at least one modern language such as Python, Scala, Go, or C++ . You will thrive in this role if you have a strong sense of end‑to‑end ownership .
En Español: P-984 Fundado a finales de 2020 por un pequeño grupo de ingenieros e investigadores de aprendizaje automático, Mosaic AI permite a las empresas ajustar en forma segura, entrenar y desplegar modelos personalizados de IA sobre sus propios datos, para la máxima seguridad y control. Compatible con todos los principales proveedores de nube, la plataforma de IA Mosaic proporciona la máxima flexibilidad para el desarrollo de IA. Introducido en 2023, los modelos de transformador preentrenados de MosaicAI han establecido un nuevo estándar para LLM abiertos y comerciales utilizables y se han descargado más de 3 millones de veces. Aprovechamos cada oportunidad para resolver desafíos técnicos, esforzándonos por capacitar a nuestros clientes con las mejores capacidades de datos y IA. Resumen Databricks Mosaic AI está contratando ingenieros experimentados en plataformas de aprendizaje automático para desarrollar nuestra plataforma generativa de inteligencia artificial orientada al cliente para el ciclo de vida del desarrollo ML que incluye la generación de datos, capacitación, evaluación, servicio y construcción de agentes. Prosperará en este papel si tiene un fuerte sentido de propiedad de extremo a extremo y disfruta de traducir los requisitos del usuario en interfaces de productos y construir los sistemas distribuidos backend para alimentar esas interfases. En este papel, tendrá la oportunidad de contribuir a todas las áreas de nuestra pila que abarcan desde el diseño y la implementación de sistemas distribuidos en función del usuario hasta la orquestación de GPU de bajo nivel. desempeñará un papel clave en el diseños e implementaciones de nuestro producto, que es una plataforma para impulsar casos de uso a través del entrenamiento y servicio de modelos generativos de IA Trabajar estrechamente con los clientes e investigadores internos de ML para identificar áreas claves de desarrollo de nuestra plataforma generativa de AI Tener una sólida propiedad de productos de extremo a extremo, traducir los requisitos del producto en interfaces de usuario y back-end al diseño de sistemas distributados y implementar su propio end-to-end Diseñar y construir la infraestructura principal de plataformas que respalda nuestras características orientadas al cliente Asegurar la fiabilidad, seguridad y escalabilidad de los sistemas de retroalimentación distribuidos que alimentan todos los aspectos de las prácticas transversales de nuestros productos Buscamos más de 4 años de experiencia profesional en un programa de uso moderno de productos como Python, Scala o C++ pero estamos dispuestos a desarrollar nuevas tecnologías de gestión de datos, así como solucionar problemas de conocimientos técnicos y capacidades para crear sistemas de trabajo integrados, además de mejorar la capacidad de aprendizaje, etc. Los paquetes de compensación reales se basan en varios factores que son únicos para cada candidato, incluidos pero no limitados a habilidades relacionadas con el trabajo, profundidad de experiencia, certificaciones y capacitación relevantes y ubicación específica del trabajo. Basándose en los factores anteriores, Databricks anticipa utilizar la amplia gama completa del rango. El paquete total de remuneración para este puesto también puede incluir elegibilidad para una bonificación anual de rendimiento, equidad y beneficios enumerados anteriormente. Para obtener más información sobre qué rango está su ubicación visite nuestra página aquí. Para obtener detalles específicos sobre los beneficios ofrecidos en su región, visite https://www.mybenefitsnow.com/databricks. Nuestro Compromiso con la Diversidad e Inclusión En Databricks estamos comprometidos a fomentar una cultura diversa e inclusiva donde todos puedan sobresalir. Nos preocupamos mucho por garantizar que nuestras prácticas de contratación sean inclusivas y cumplan las mismas normas de oportunidades laborales.