Databricks Inc. is hiring: Sr. Machine Learning Engineer in San Francisco
Databricks Inc., San Francisco, CA, United States
The Applied AI team at Databricks sits at the forefront of advancing GenAI‑powered products. Over the past years, we’ve launched Databricks Assistant, AI/BI Genie, and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by hundreds of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text‑to‑SQL generation, automatic pipeline generation, knowledge QA and many others.
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
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.
Why Join Us?
At Databricks, we are building state‑of‑the‑art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI‑driven products at Databricks, work with cutting‑edge models, and collaborate with a world‑class team of AI and ML experts.
If you’re excited about pushing the boundaries of AI in real‑world applications, we’d love to hear from you!
Pay Range Transparency
Local Pay Range
$166,000 — $210,250 USD
Key Responsibilities
Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state‑of‑the‑art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie).
Develop novel data collection, fine‑tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
Work closely with cross‑functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.
What We’re Looking For
2–8 years of machine learning engineering experience in high‑velocity, high‑growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.
Strong track record of working with language modeling technologies. This could include the following: developing generative and embedding techniques, modern model architectures, fine tuning / pre‑training datasets, and evaluation benchmarks.
Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
Ability to drive end‑to‑end model development, from research and prototyping to deployment and monitoring.
Strong analytical and problem‑solving skills, with a passion for improving AI‑driven user experiences.
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
Experience with LLM fine‑tuning, prompt engineering, and retrieval‑augmented generation (RAG) is a bonus.
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: The Applied AI team at Databricks sits at the forefront of advancing GenAI‑powered products . As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development . In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities .
En Español: El equipo de inteligencia artificial aplicada en Databricks se encuentra a la vanguardia del avance de productos basados en GenAI. En los últimos años, hemos lanzado el Asistente de Datosbricks, AI/BI Genie y Agent Bricks trabajando con equipos de producto, e hicimos avances significativos en calidad de LLM para estos productos. Estos productos son utilizados por cientos de miles de usuarios de Data bricks todos los días. Estamos abordando problemas desafiantes como sugerencias de código, detección y corrección de errores, generación de texto-a-AI, generaciones automáticas de tuberías, conocimiento QA y muchos otros. A medida que nuestros productos de GenAI continúan evolucionando, estamos buscando ingenieros de genai desde niveles junior hasta más niveles para impulsar la próxima fase de desarrollo. Para obtener más información, siga a Databricks en Twitter, LinkedIn y Facebook. ¿Por qué unirse a nosotros? En Data bricks estamos construyendo soluciones de IA de última generación que redefinen cómo los usuarios interactúan con datos y nuestros productos. Tendrá la oportunidad de dar forma al futuro de los productos impulsados por inteligencia artificial en databricks, trabajar con modelos de vanguardia y colaborar con un equipo de expertos en AI y ML de clase mundial. Si está entusiasmado con el impulso de las fronteras de la IA en aplicaciones del mundo real, nos encantaría escucharlo! Pay Transparency Local Pay $166,000 $210,250 USD Responsabilidades clave Shape the direction of our AI areas and features in our products. Desarrollar robustos sistemas de registro, telemetría y evaluación para garantizar un rendimiento fiable del modelo. Lo que buscamos 28 años de experiencia en ingeniería de aprendizaje automático en empresas de alta velocidad y alto crecimiento. Alternativamente, se considerará como una cualificación equivalente un sólido antecedente en la investigación pertinente sobre ML en el mundo académico. Un sólido historial de trabajo con tecnologías de modelado lingüístico. Esto podría incluir lo siguiente: desarrollar técnicas generativas e incrustadas, arquitecturas de modelos modernas, conjuntos de datos de ajuste fino / pre-entrenamiento y puntos de referencia de evaluación. Proficiencia en Python, TensorFlow/PyTorch y arquitectura escalable de ML. Capacidad para impulsar el desarrollo de modelos de extremo a extremo, desde investigaciones y prototipos hasta implementación, proporcionando beneficios y monitoreo. Fuertes habilidades analíticas y de resolución de problemas familiares, con pasión por mejorar las necesidades de los usuarios. 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.
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
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.
Why Join Us?
At Databricks, we are building state‑of‑the‑art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI‑driven products at Databricks, work with cutting‑edge models, and collaborate with a world‑class team of AI and ML experts.
If you’re excited about pushing the boundaries of AI in real‑world applications, we’d love to hear from you!
Pay Range Transparency
Local Pay Range
$166,000 — $210,250 USD
Key Responsibilities
Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state‑of‑the‑art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie).
Develop novel data collection, fine‑tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
Work closely with cross‑functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.
What We’re Looking For
2–8 years of machine learning engineering experience in high‑velocity, high‑growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.
Strong track record of working with language modeling technologies. This could include the following: developing generative and embedding techniques, modern model architectures, fine tuning / pre‑training datasets, and evaluation benchmarks.
Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
Ability to drive end‑to‑end model development, from research and prototyping to deployment and monitoring.
Strong analytical and problem‑solving skills, with a passion for improving AI‑driven user experiences.
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
Experience with LLM fine‑tuning, prompt engineering, and retrieval‑augmented generation (RAG) is a bonus.
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: The Applied AI team at Databricks sits at the forefront of advancing GenAI‑powered products . As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development . In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities .
En Español: El equipo de inteligencia artificial aplicada en Databricks se encuentra a la vanguardia del avance de productos basados en GenAI. En los últimos años, hemos lanzado el Asistente de Datosbricks, AI/BI Genie y Agent Bricks trabajando con equipos de producto, e hicimos avances significativos en calidad de LLM para estos productos. Estos productos son utilizados por cientos de miles de usuarios de Data bricks todos los días. Estamos abordando problemas desafiantes como sugerencias de código, detección y corrección de errores, generación de texto-a-AI, generaciones automáticas de tuberías, conocimiento QA y muchos otros. A medida que nuestros productos de GenAI continúan evolucionando, estamos buscando ingenieros de genai desde niveles junior hasta más niveles para impulsar la próxima fase de desarrollo. Para obtener más información, siga a Databricks en Twitter, LinkedIn y Facebook. ¿Por qué unirse a nosotros? En Data bricks estamos construyendo soluciones de IA de última generación que redefinen cómo los usuarios interactúan con datos y nuestros productos. Tendrá la oportunidad de dar forma al futuro de los productos impulsados por inteligencia artificial en databricks, trabajar con modelos de vanguardia y colaborar con un equipo de expertos en AI y ML de clase mundial. Si está entusiasmado con el impulso de las fronteras de la IA en aplicaciones del mundo real, nos encantaría escucharlo! Pay Transparency Local Pay $166,000 $210,250 USD Responsabilidades clave Shape the direction of our AI areas and features in our products. Desarrollar robustos sistemas de registro, telemetría y evaluación para garantizar un rendimiento fiable del modelo. Lo que buscamos 28 años de experiencia en ingeniería de aprendizaje automático en empresas de alta velocidad y alto crecimiento. Alternativamente, se considerará como una cualificación equivalente un sólido antecedente en la investigación pertinente sobre ML en el mundo académico. Un sólido historial de trabajo con tecnologías de modelado lingüístico. Esto podría incluir lo siguiente: desarrollar técnicas generativas e incrustadas, arquitecturas de modelos modernas, conjuntos de datos de ajuste fino / pre-entrenamiento y puntos de referencia de evaluación. Proficiencia en Python, TensorFlow/PyTorch y arquitectura escalable de ML. Capacidad para impulsar el desarrollo de modelos de extremo a extremo, desde investigaciones y prototipos hasta implementación, proporcionando beneficios y monitoreo. Fuertes habilidades analíticas y de resolución de problemas familiares, con pasión por mejorar las necesidades de los usuarios. 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.