Databricks Inc.
GenAI Engineers (L4-L7) San Francisco, California
Databricks Inc., San Francisco, California, United States, 94199
Overview
As a Senior Applied AI Engineer at Databricks, you will apply machine learning, scheduling and optimization algorithms to improve the efficiency and performance of our engineering systems and infrastructure. From cluster management to query compilation, our Applied AI team tackles challenging problems to make Databricks infrastructure and products performant and cost-efficient. This is a high impact role as our customers expect optimized workloads. The impact you will have
Build end-to-end systems from the ground up in a small team of experienced people. Shape the direction of our applied ML areas of investment by engaging with engineering and product teams across the company. Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products, infrastructure and services. Architect and implement robust, scalable ML infrastructure, including data storage and processing, model training and serving components, and monitoring and reporting systems to support seamless integration of AI/ML models into production environments. Work on novel modeling techniques in the field of ML for Systems. Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader. What we look for
2-8 years of machine learning engineering experience in high velocity, high-growth companies Strong understanding of both computer systems and statistics Broad knowledge or interest in mathematical modeling beyond ML (OR, combinatorial optimization) Experience developing AI/ML systems at scale in production Strong track record of ML modeling that goes beyond using standard libraries Strong coding and software engineering skills, and familiarity with testing, code reviews and deployment Experience deploying, scaling and monitoring models in production; deep understanding of the infrastructure challenges posed by training and serving predictions in Tier 0 environments 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! Please note we are open to employees working from our Mountain View, CA office for this position. 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 — $210,250 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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 social media channels. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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 the Employer's discretion to apply for a U.S. government license or to proceed with an applicant accordingly.
#J-18808-Ljbffr
As a Senior Applied AI Engineer at Databricks, you will apply machine learning, scheduling and optimization algorithms to improve the efficiency and performance of our engineering systems and infrastructure. From cluster management to query compilation, our Applied AI team tackles challenging problems to make Databricks infrastructure and products performant and cost-efficient. This is a high impact role as our customers expect optimized workloads. The impact you will have
Build end-to-end systems from the ground up in a small team of experienced people. Shape the direction of our applied ML areas of investment by engaging with engineering and product teams across the company. Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products, infrastructure and services. Architect and implement robust, scalable ML infrastructure, including data storage and processing, model training and serving components, and monitoring and reporting systems to support seamless integration of AI/ML models into production environments. Work on novel modeling techniques in the field of ML for Systems. Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader. What we look for
2-8 years of machine learning engineering experience in high velocity, high-growth companies Strong understanding of both computer systems and statistics Broad knowledge or interest in mathematical modeling beyond ML (OR, combinatorial optimization) Experience developing AI/ML systems at scale in production Strong track record of ML modeling that goes beyond using standard libraries Strong coding and software engineering skills, and familiarity with testing, code reviews and deployment Experience deploying, scaling and monitoring models in production; deep understanding of the infrastructure challenges posed by training and serving predictions in Tier 0 environments 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! Please note we are open to employees working from our Mountain View, CA office for this position. 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 — $210,250 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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 social media channels. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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 the Employer's discretion to apply for a U.S. government license or to proceed with an applicant accordingly.
#J-18808-Ljbffr