Databricks

Databricks

Databricks is seeking an engineer to join a new, nimble team in NYC to build CustomerLake, the Customer Data Platform on Databricks. This platform aims to bring enterprise-grade ML and AI personalization to companies whose data already resides on Databricks, enabling them to power personalization, recommendations, churn, and lifetime-value modeling without an in-house ML/AI team. This is a unique opportunity to work in a 0-to-1 environment, combining startup excitement with the resources of a major tech company.

$190k - $253k

Databricks

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized customer-facing AI team focused on building and productionizing first-of-its-kind AI applications. This role is for experienced engineers who excel at working with customers and teammates, and who are passionate about the latest trends in Generative AI, LLMOps, and Machine Learning. You will collaborate cross-functionally with engineering and product teams to shape strategic priorities and initiatives, acting as a trusted technical advisor to customers across various domains.

$182k - $250k

Databricks

Databricks is seeking an AI Forward Deployed Engineering (AI FDE) professional to join a specialized customer-facing AI team. This role involves delivering professional services to help customers build and productionize AI applications, working cross-functionally with engineering and product teams. The ideal candidate is passionate about customer engagement, collaboration, and staying current with GenAI and LLMOps trends. This position can be remote, but requires periodic on-site work in the Washington, D.C., Maryland, or Virginia metropolitan area.

$182k - $250k

Databricks

Databricks is seeking a PhD GenAI Research Scientist Intern to join their Mosaic AI organization. This role focuses on pushing the frontier of domain adaptation for Large Language Models (LLMs) and AI systems, enabling them to work effectively within custom enterprise domains. You will tackle open research problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The intern will collaborate with the research team on projects involving adapting, improving, and evaluating existing methods, designing novel domain adaptation techniques, and composing multiple methods for efficient post-training.

$0k - $0k

Databricks

The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. As Staff Software Engineer on the Web Platform team, you will own the platform layer that the rest of the team builds on, including the web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up, with the north star architecture being defined now, and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.

$198k - $273k

Databricks

Databricks is seeking a Senior Staff Software Engineer to work on the AI Runtime system, which powers the world's largest AI platform. This serverless product enables companies to train their own models using enterprise data, similar to how frontier labs operate. The role involves tackling complex technical challenges to advance AI Runtime's architecture, reliability, and developer experience for both humans and AI agents. You will contribute to shaping the long-term technical direction of AI training infrastructure, anticipating industry trends, and optimizing training efficiency and cost across various model architectures and GPU accelerators.

$229k - $343k

Databricks

Databricks is seeking a Senior Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of AI models, providing customers with on-demand access to accelerators and a serverless experience that simplifies the complexities of provisioning, scheduling, and orchestrating multi-node jobs. As a Senior Software Engineer on AIR, you will be instrumental in building and scaling the systems that ensure large-scale training is fast, reliable, and effortless. You will lead the architecture and evolution of the managed GPU training stack, focusing on areas such as scheduling, distributed training performance, fault tolerance, and the developer experience for large-scale job operations. Beyond hands-on system development, you will contribute to the technical vision for AIR, mentor engineers, and collaborate with product, research, and platform teams to expand the impact of custom AI training at Databricks.

$160k - $225k

Databricks

Databricks is seeking a Staff Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of state-of-the-art AI models, providing customers with on-demand access to accelerators and a serverless experience. As part of this role, you will be instrumental in building and scaling the systems that ensure fast, reliable, and effortless large-scale training. You will influence the architecture and development of the managed GPU training stack, focusing on areas like scheduling, distributed training performance, fault tolerance, and the overall developer experience for operating jobs at scale. This position also involves defining the long-term technical vision for AIR, mentoring senior engineers, and collaborating with product, research, and platform teams to expand the impact of custom training at Databricks.

$190k - $265k

Databricks

The Agentic Security Engineering team is building an AI-native shared services platform to empower all Databricks security functions. This role will serve as a senior technical authority and architect for this platform, defining its architecture, technical standards, and multi-year engineering direction. You will ensure security teams can safely build, deploy, and operate governed AI personas at scale, focusing on areas like secure agent identity, isolation, policy enforcement, auditability, and observability. Your work will involve cross-organizational alignment, driving adoption of common patterns, and resolving complex technical challenges to improve the quality, safety, reliability, and velocity of the Security AI ecosystem.

$183k - $314k

Databricks

Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.

$222k - $300k

Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k

Databricks

Databricks is seeking a Staff Engineer for AI Search to play a critical role in building and scaling their next-generation Search product, encompassing Vector Search, Keyword Search, and Search Quality. The role involves driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, the engineer will help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts to expand the technical and business impact of Search at Databricks.

$166k - $225k

Databricks

Databricks' Model Serving product offers enterprises a unified, scalable, and governed platform for deploying and managing AI/ML models, including traditional ML and large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage, making it a core pillar for customers operationalizing models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you will be instrumental in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build high-throughput, low-latency inference systems for CPU and GPU workloads, influence architectural direction, and collaborate with cross-functional teams to deliver a world-class serving platform.

$166k - $225k

Databricks

At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. As part of the AI Platform team, you will build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You will be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations, and we are building the infrastructure that powers the next generation of AI.

$166k - $225k

Databricks

Databricks is seeking a dedicated Senior Engineering Manager to help grow the AI/BI Dashboard product and service platform. This role involves tackling challenging full-stack and backend problems, focusing on making agentic dashboard authoring and AI insights fast and performant while maintaining high quality. The manager will enable the creation and consumption of Dashboards and BI features across the entire Databricks platform and scale the service to a significantly larger user base. A key aspect of this role is applying AI and LLM technology directly into the product surface and guiding the team to balance quality with performance and cost.

$229k - $314k

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$133k - $186k

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$149k - $205k

Databricks

Databricks is seeking an SAP Technical Lead to spearhead the technical architecture and delivery of their SAP platform. This role involves defining the technical vision for a clean-core S/4HANA landscape, guiding the engineers who develop on it, and architecting the AI layer that connects SAP with the Databricks Data Intelligence Platform. The objective is to establish standards, make strategic build-versus-adopt decisions, and ensure all deliverables are secure, performant, and scalable. The SAP platform will underpin core finance processes like Record-to-Report, Source-to-Pay, and Order-to-Cash, with a focus on leveraging SAP BTP and the Databricks Lakehouse for automated, AI-driven workflows that maintain a clean, upgradable, and fast core.

$198k - $273k

Databricks

We are seeking a Partner Engineer to manage the technical relationships with Databricks' strategic AI partners, including Anthropic, OpenAI, and Google Gemini. In this high-impact role, you will be responsible for co-owning the joint roadmap with partner product teams, driving the development of integrations that enhance both platforms, and actively engaging with new product features and tooling. You will collaborate with partners to create Proofs of Concept (POCs), demonstrations, and hands-on labs that will ultimately form the architectures our customers deploy. This position offers direct visibility to our founders and executives and sits within the Partner Engineering team, working closely with Product, Engineering, Strategic Partnerships, and Global Go-to-Market teams.

$150k - $206k

Databricks

As a Sr. Engineering Manager on the Agentic Service Platform team at Databricks, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. The team's goal is to make every service at Databricks fast, reliable, observable, and secure by default. This role involves owning the core agentic service platform, including multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language. Your work will be high-leverage, with a single improvement benefiting thousands of production services and engineers across the company.

$229k - $314k