Senior Machine Learning Engineer - GenAI Platform Job at Databricks Inc. in San
Databricks Inc., San Francisco, CA, United States
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
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 base 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 utilizes 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 visithttps://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: Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform . 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 .
En Español: Fundada 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 mayor flexibilidad para el desarrollo de IA. Introducida en 2023, los modelos de transformador preentrenados de MosaicAI han establecido un nuevo estándar de código abierto, LLM comercialmente utilizables y se han descargado más de 3 millones de veces. Aprovechamos cada oportunidad para resolver desafíos técnicos, esforzándonos por empoderar a nuestros clientes con los mejores datos y capacidades de IA. Resumen: Databricks Mosaic AI está contratando ingenieros experimentados en plataformas de aprendizaje automático para construir nuestra plataforma generativa de inteligencia artificial orientada al cliente para el ciclo de vida del desarrollo ML que incluye 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 las necesidades del usuario en interfaces de productos y la construcción de 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 funciones orientadas al usuario hasta diseño de sistemas distribuidos y orquestación de GPU de bajo nivel. Usted: desempeñará un papel clave en el diseño e implementación integral 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 para nuestra plataforma generativa de AI Tener una fuerte propiedad final-a-fin de productos, traducir los requisitos del producto en interfaces de usuarios y backend sistema distribuido y implementar su propio end-to-end Diseñar y construir la infraestructura central de plataformas que respalda nuestras características orientadas a nuestros clientes Asegurar la fiabilidad, seguridad y escalabilidad de los sistemas distribuídos que alimentan todos los aspectos de nuestros productos 4+ años de experiencia práctica transversal con al menos uno de los lenguajes modernos de uso de datos, Scala Python, GoSystems y soluciones exteriores. 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 capacitaciones relevantes y ubicación específica del trabajo. Basándose en los factores anteriores, Databricks utiliza la anchura completa del rango. 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 con estándares de igualdad de oportunidades de empleo. Las personas que buscan trabajo en Data bricks se consideran independientemente de edad, color, discapacidad, etnia, estado familiar o matrimonial, identidad o expresión de género, lenguaje, origen nacional, capacidad física y mental, afiliación política, raza, religión, orientación sexual, estatus socioeconómico, status veterano y otras características protegidas. Si se requiere el acceso al código fuente o tecnología controlada por exportaciones para realizar tareas laborales, es discrecional del empleador solicitar tales posiciones solo con una licencia gubernamental de EE.UU., y si un solicitante puede presentarse a esta licencia únicamente mediante decreto #JjL-1880ff.
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
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 base 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 utilizes 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 visithttps://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: Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform . 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 .
En Español: Fundada 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 mayor flexibilidad para el desarrollo de IA. Introducida en 2023, los modelos de transformador preentrenados de MosaicAI han establecido un nuevo estándar de código abierto, LLM comercialmente utilizables y se han descargado más de 3 millones de veces. Aprovechamos cada oportunidad para resolver desafíos técnicos, esforzándonos por empoderar a nuestros clientes con los mejores datos y capacidades de IA. Resumen: Databricks Mosaic AI está contratando ingenieros experimentados en plataformas de aprendizaje automático para construir nuestra plataforma generativa de inteligencia artificial orientada al cliente para el ciclo de vida del desarrollo ML que incluye 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 las necesidades del usuario en interfaces de productos y la construcción de 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 funciones orientadas al usuario hasta diseño de sistemas distribuidos y orquestación de GPU de bajo nivel. Usted: desempeñará un papel clave en el diseño e implementación integral 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 para nuestra plataforma generativa de AI Tener una fuerte propiedad final-a-fin de productos, traducir los requisitos del producto en interfaces de usuarios y backend sistema distribuido y implementar su propio end-to-end Diseñar y construir la infraestructura central de plataformas que respalda nuestras características orientadas a nuestros clientes Asegurar la fiabilidad, seguridad y escalabilidad de los sistemas distribuídos que alimentan todos los aspectos de nuestros productos 4+ años de experiencia práctica transversal con al menos uno de los lenguajes modernos de uso de datos, Scala Python, GoSystems y soluciones exteriores. 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 capacitaciones relevantes y ubicación específica del trabajo. Basándose en los factores anteriores, Databricks utiliza la anchura completa del rango. 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 con estándares de igualdad de oportunidades de empleo. Las personas que buscan trabajo en Data bricks se consideran independientemente de edad, color, discapacidad, etnia, estado familiar o matrimonial, identidad o expresión de género, lenguaje, origen nacional, capacidad física y mental, afiliación política, raza, religión, orientación sexual, estatus socioeconómico, status veterano y otras características protegidas. Si se requiere el acceso al código fuente o tecnología controlada por exportaciones para realizar tareas laborales, es discrecional del empleador solicitar tales posiciones solo con una licencia gubernamental de EE.UU., y si un solicitante puede presentarse a esta licencia únicamente mediante decreto #JjL-1880ff.