Databricks
Lead Data Scientist - Technical Curriculum Development
Databricks, San Francisco, California, United States, 94199
CSQ125R119While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.As a Staff/ Lead Data Scientist - Technical Curriculum Development, you’ll apply your expertise in machine learning and passion for enabling others to lead the design and development of enablement content that showcases the cutting-edge and industry-disrupting machine learning features of the Databricks Data Intelligence Platform.This is an opportunity for you to stay on top of Databricks latest and greatest features and be the voice that enables our global customers, partners, and fellow Bricksters to use the Data Intelligence Platform best. In this role, you’ll work with the Databricks product and engineering teams, subject-matter experts, and global stakeholders to take product updates and best practices and create high-impact technical enablement material through instructor-led, self-paced, and blended offerings.In terms of your day-to-day work, you’ll make a name for yourself at Databricks by being the point of contact for all things related to machine learning enablement. You’ll (1) regularly engage in SME and product meetings, (2) work with our learning architecture team to fully understand business requirements for machine learning content, (3) oversee and design scalable learning offerings for the machine learning portfolio, and (4) work with a team of global stakeholders, product managers, engineers, subject-matter-experts, and other curriculum developers to build this content.The Impact You Will Have
Serve as the trusted advisor/owner of machine learning enablement at DatabricksProvide technical leadership to guide curriculum initiatives on machine learningWork with subject-matter-experts and learning architects to scope and build machine learning enablement material to enable our global customers, partners, and employeesWhat We Look For
Passion/experience for sharing knowledge and expertise to enable others3+ years of hands-on industry ML experience in at least one of the following:ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIBachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experienceExperience communicating and/or teaching technical concepts to non-technical and technical audiences alikePassion for collaboration, life-long learning, and driving business value through ML[Preferred] Experience working with Apache Spark to process large-scale distributed databasesBenefits
Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)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.Zone 1 Pay Range: $104,400—$184,700 USDAbout 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.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.
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Serve as the trusted advisor/owner of machine learning enablement at DatabricksProvide technical leadership to guide curriculum initiatives on machine learningWork with subject-matter-experts and learning architects to scope and build machine learning enablement material to enable our global customers, partners, and employeesWhat We Look For
Passion/experience for sharing knowledge and expertise to enable others3+ years of hands-on industry ML experience in at least one of the following:ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIBachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experienceExperience communicating and/or teaching technical concepts to non-technical and technical audiences alikePassion for collaboration, life-long learning, and driving business value through ML[Preferred] Experience working with Apache Spark to process large-scale distributed databasesBenefits
Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)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.Zone 1 Pay Range: $104,400—$184,700 USDAbout 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.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.
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