Databricks

Research Scientist focused on foundation model efficiency in training and inference, optimizing ML systems for distributed training, memory, and compute efficiency. Requires MS/PhD in CS with ML/systems foundations, Python/PyTorch expertise, and a publication record in top ML/systems conferences.

Senior Staff Applied AI Engineer focused on context retrieval for Databricks agents. The role involves building the retrieval stack (query understanding, content understanding, ranking, retrieval, evaluation) and search subagents that reason about context retrieval for enterprise SaaS data. This is a zero-to-one role requiring deep Information Retrieval expertise and experience shipping RAG and agentic workloads.

Lead a research team focused on advancing LLM training and inference efficiency, developing novel algorithms and systems for scaling, optimization, and adaptation. The role involves defining research roadmaps, driving innovations, and translating breakthroughs into production capabilities on the Databricks AI platform.

AI Engineer (Forward Deployed Engineer) for Databricks' federal sector team, focusing on building and productionizing GenAI applications for government customers. This role involves acting as a technical advisor, developing cutting-edge solutions using Mosaic AI research, and owning production rollouts of GenAI applications. Requires experience with RAG, multi-agent systems, fine-tuning, and deploying ML models on cloud platforms.

Lead a research team focused on advancing LLM training and inference efficiency, post-training optimization, and scaling. Drive algorithmic innovations and translate research into production capabilities for the Databricks AI platform.

AI Engineer (Forward Deployed Engineer) at Databricks, focused on customer-facing GenAI solutions. This role involves building and productionizing AI applications using techniques like RAG, multi-agent systems, and fine-tuning, and deploying them on cloud platforms. The role requires strong data science experience and acting as a technical advisor to customers.

AI Engineer - Forward Deployed Engineer (FDE) role focused on delivering professional services to help customers build and productionize first-of-its-kind AI applications. This involves developing GenAI solutions, owning production rollouts, serving as a technical advisor, and collaborating with product/engineering teams. Requires experience building and deploying GenAI applications (RAG, multi-agent, fine-tuning) and production ML deployments.

AI Engineer - FDE (Forward Deployed Engineer) at Databricks, focused on building and productionizing GenAI solutions for customers, including RAG, multi-agent systems, and fine-tuning. The role involves serving as a technical advisor, owning production rollouts, and collaborating with product/engineering teams. Requires experience in GenAI application development, deployment, evaluation, and optimization, along with ML deployment on cloud platforms.

Databricks is seeking a Senior GenAI Research Engineer focused on optimization and kernels for AI model training. The role involves advancing the scientific frontier through new techniques, optimizing GPU kernels, and implementing distributed training frameworks for large language models. Requires strong understanding of GPU architecture, CUDA, and distributed training strategies, with proficiency in Python and PyTorch.

Staff Software Engineer focused on optimizing GPU kernels for GenAI inference, involving low-level compute, performance tuning, and integration with ML systems. The role requires deep expertise in GPU architecture and optimization techniques, with a focus on shipping high-performance production software.

Staff Software Engineer focused on the GenAI inference engine at Databricks, responsible for architecture, development, and optimization of high-throughput, low-latency LLM inference. This role involves kernel-level optimization, runtime development, orchestration, and integration with ML frameworks, bridging research advances with production demands.

Staff Research Scientist focused on Information Retrieval for enterprise agents, RAG, and embeddings. The role involves defining and leading research agendas, driving algorithmic innovations, and publishing at top ML/systems conferences.

Research Scientist Intern role focused on domain adaptation for LLMs and AI systems in enterprise settings. Projects involve improving and evaluating literature methods, designing new methods, composing post-training techniques, and evaluating LLMs.

Staff Software Engineer for Databricks' AI Platform team in NYC, focusing on building new GenAI agent interfaces and end-to-end AI products from scratch in a 0-to-1 environment. Requires strong full-stack and generative AI experience, including RAG, prompt design, and production monitoring.

Databricks is seeking a Senior Software Engineer for their AI Platform team in NYC. This role involves creating novel GenAI agent interfaces for complex workflows, leading full-stack development, and driving the strategy for end-to-end AI feature development. The ideal candidate has 5+ years of experience in web technologies, a strong product mindset, and hands-on experience with LLMs, RAG, prompt design, and production AI monitoring.

Senior Specialist Solutions Architect focusing on AI & ML Engineering for Databricks customers. The role involves architecting production-grade ML/AI workloads, including GenAI solutions like RAG and agents, optimizing training and inference, and applying MLOps best practices. It requires deep technical expertise in ML/AI, customer-facing skills, and collaboration with product and engineering teams to influence the roadmap.

Sr. Manager of Engineering to lead teams building the Databricks AI Gateway, an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints. The role involves launching and growing new products, focusing on standardizing, securing, and observing LLM inference traffic while managing cost, performance, and quality.

Senior Engineering Manager to lead a team responsible for the AI Runtime (AIR) product and its foundational infrastructure, focusing on training and fine-tuning deep learning and LLM models with on-demand GPUs for enterprise customers. This role involves defining roadmaps, driving architectural decisions, and ensuring scalability, extensibility, and performance of GPU training infrastructure.

Databricks is seeking GenAI Engineers to drive the development and deployment of GenAI-powered products, focusing on enhancing LLM quality, expanding capabilities, and strengthening platform architecture. The role involves developing and implementing ML pipelines, building scalable backend systems, and working with cross-functional teams to deliver impactful AI solutions.

AI Engineer (Forward Deployed Engineer) at Databricks focused on delivering professional services to help customers build and productionize GenAI applications. This role involves developing cutting-edge GenAI solutions, owning production rollouts, and serving as a technical advisor.

AI Engineer (Forward Deployed Engineer) at Databricks focused on delivering professional services to help customers build and productionize GenAI applications. This role involves developing cutting-edge GenAI solutions, owning production rollouts, and serving as a technical advisor.

Software Engineer focused on designing, developing, and optimizing the inference engine for Databricks' Foundation Model API. The role involves working on the full GenAI inference stack, including kernels, runtimes, orchestration, and memory management, to ensure fast, scalable, and efficient LLM serving systems.

Senior Applied AI Engineer at Databricks focused on applying ML and optimization algorithms to improve user-facing products like AutoML, classification, regression, forecasting, and recommendations. The role involves building end-to-end systems, deploying ML/AI models, and architecting scalable ML infrastructure for training and serving. Experience with novel modeling techniques in ML for forecasting is a plus.

AI Engineer - Forward Deployed Engineer (FDE) at Databricks, focused on delivering professional services to help customers build and productionize GenAI applications. This role involves developing cutting-edge GenAI solutions, owning production rollouts, serving as a technical advisor, and collaborating with product/engineering teams. Requires experience building GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) and deploying production-grade GenAI applications.

Staff Software Engineer focused on Machine Learning for Search at Databricks. The role involves developing and deploying ML-based search and discovery relevance models, enhancing search ranking, improving query understanding, building robust evaluations, and applying LLMs to search relevance. The goal is to enable seamless search at scale for Databricks customers.

Staff Software Engineer role focused on enhancing search ranking and query understanding for Databricks' AI/ML-powered products. The role involves developing and deploying ML-based search relevance models, designing NLP pipelines, and contributing to evaluation frameworks for search quality.

Senior Developer Advocate focused on AI Agentic Systems, driving adoption and technical discourse for Databricks' AI offerings. Responsibilities include defining advocacy strategy, creating production-grade reference implementations, developing educational content, influencing product direction, and building the MLOps/LLMOps community. Requires deep technical expertise in Generative AI, MLOps, Python, ML frameworks, LLMOps orchestration tools, and the Databricks platform.

Databricks is seeking GenAI Engineers to drive the development and deployment of GenAI-powered products, focusing on enhancing LLM quality, expanding capabilities, and strengthening platform architecture. The role involves developing novel data collection, fine-tuning, and LLM technologies, designing ML pipelines, and building scalable backend systems for GenAI products.

Hiring experienced machine learning platform engineers to build out a customer-facing generative AI platform for the ML development lifecycle, including data generation, training, evaluation, serving, and agent-building. The role involves end-to-end ownership, translating user requirements into product interfaces, and building backend distributed systems. Responsibilities span from user-facing features to low-level GPU orchestration.

Staff Software Engineer focused on building and operating the AI research infrastructure at Databricks. This role involves designing and implementing services for large-scale training and inference workloads, improving developer tooling, and ensuring reliability, efficiency, and security for AI research. The engineer will partner with researchers and ML engineers to create robust pipelines and influence the long-term roadmap for research computation.

Staff Software Engineer focused on building and operating the AI research infrastructure at Databricks. This role involves designing and implementing services for large-scale training and inference workloads, improving developer tooling, and ensuring reliability, efficiency, and security for AI research. The engineer will partner with researchers and ML engineers to create robust pipelines and influence the long-term roadmap for research computation.

Lead and scale a customer-facing AI Forward Deployed Engineering (AI FDE) team at Databricks, focusing on building and productionizing GenAI applications. This role involves leading customer AI/ML transformations, managing key accounts, hiring and mentoring data scientists/ML engineers, and collaborating with Product, Research, and Engineering teams to influence the product roadmap.

Staff Software Engineer focused on building new, 0-to-1 generative AI products and interfaces for GenAI agents that manage complex workflows, leveraging Databricks' data and AI platform. The role involves full-stack development, leading best practices, and collaborating across teams to deliver intuitive, scalable, and extensible AI solutions for both technical and business users.

Senior Software Engineer to build new AI products from the ground up in a 0-to-1 environment, focusing on GenAI agents and user interfaces. The role involves full-stack development and establishing best practices for AI products.

Databricks is seeking a Sr. Manager for their AI Forward Deployed Engineering (AI FDE) team. This customer-facing role involves leading professional services engagements to help customers build and productionize GenAI applications using Databricks. The manager will lead and scale the AI FDE team in India, recruit engineers, develop executive customer relationships, and drive strategic AI PS initiatives. The role requires deep technical expertise in ML/GenAI and experience managing high-performing AI/ML teams in cloud environments.

This role leads the global go-to-market strategy for Databricks' Data and AI platforms, targeting high-growth digital native companies. The leader will act as a technical authority, engaging with CTOs and Engineering leaders, driving revenue growth, and influencing the product roadmap. Key responsibilities include scaling GTM motions, strategic sales partnerships, technical advisory, and thought leadership. Requires deep experience in the Data/AI landscape, hands-on AI system building, and strong program management skills.

Staff Backend Software Engineer for Databricks' AI Platform, focusing on Foundation Model Serving. The role involves designing and implementing high-throughput, low-latency inference systems for frontier AI models on GPU workloads, optimizing serving infrastructure, and influencing the technical roadmap for LLM APIs and runtimes at scale. Prior ML/AI experience is not required, but experience with large-scale distributed systems and operational sensitive systems is critical.

Databricks is seeking a Staff Backend Software Engineer for their AI Platform team, focusing on the Model Serving product. The role involves designing and building systems for high-throughput, low-latency inference across CPU and GPU workloads, optimizing performance, and ensuring scalability and reliability. The engineer will contribute to core serving infrastructure, collaborate cross-functionally, and lead technical initiatives to improve latency, availability, and cost-effectiveness.

Staff Backend Software Engineer for Databricks' AI Platform, focusing on the Model Serving product. The role involves designing and building scalable, low-latency inference systems for both CPU and GPU workloads, optimizing performance, and ensuring operational excellence. Key responsibilities include developing core serving infrastructure, driving architectural decisions, and collaborating across teams to deliver a world-class serving platform for enterprise AI/ML models.

Staff Backend Software Engineer for Databricks' AI Platform team, focusing on building and improving the infrastructure that powers AI offerings like MLflow, AI Gateway, Agent Framework, and Foundation Model APIs. The role involves improving reliability, latency, and efficiency of distributed AI workloads and collaborating with various teams to deliver seamless end-to-end AI experiences.

Staff Backend Software Engineer on the AI Platform team at Databricks, responsible for building and improving LLM infrastructure, including model serving, agent support, and Vector Search, to power customer AI workloads.

Sr. Software Engineer to build AI-powered systems for customer support, focusing on intelligent automation, agentic workflows, and improving customer experience at scale. This role involves contributing to the technical vision, developing automation, and implementing observability for AI-driven decisions within Databricks' Support Automation and Tooling ecosystem.

Databricks is seeking a Senior Staff Software Engineer for Search Quality to build the contextual backbone for AI agents and improve traditional search experiences. The role involves hybrid retrieval, dual-optimization of ranking models, ensuring high-stakes accuracy for AI, and handling data heterogeneity. The ideal candidate is an IR specialist with expertise in embeddings, ranking algorithms, and evaluation frameworks, bridging traditional IR with RAG.

Databricks is seeking a Staff Software Engineer for Search Quality to build and optimize the retrieval backbone for both AI agents and human users. This role involves hybrid retrieval (keyword and semantic search), dual-optimization of ranking models, ensuring high-stakes accuracy for AI grounding, and handling data heterogeneity. The engineer will apply IR principles to RAG systems and build evaluation frameworks for relevance metrics.

Senior Engineering Manager for Customer Experience Intelligence (CXI) at Databricks, leading a team to build AI-driven systems for customer and support experiences. The role focuses on improving customer interactions through AI and automation, driving business outcomes like deflection and resolution speed, and integrating AI with human expertise.

Staff Software Engineer to lead the design and development of AI-powered systems for customer support automation and agentic workflows. This role involves end-to-end ownership of technical strategy, building systems that anticipate customer needs, and implementing observability for AI-driven decisions. The goal is to improve customer experience and support scalability.

Staff Product Manager for Databricks' AI Platform, focusing on driving the vision and roadmap for AI/ML infrastructure products that enable enterprises to build, train, deploy, and monitor AI systems. The role involves deep technical collaboration with engineering, customer engagement, and commercialization strategy for AI platform features, aiming to make it easier for enterprises to put AI into production.

Staff Product Manager for Databricks' AI Platform, focusing on the infrastructure that powers machine learning and AI at scale. The role drives the vision and roadmap for AI platform product areas, enabling enterprises to build, train, deploy, and monitor AI/ML systems. It involves deep technical collaboration, customer engagement, and commercialization strategy for AI platform features.

Staff Security Detection Engineer at Databricks responsible for designing and implementing scalable intrusion detection solutions using machine learning and log analysis. The role involves optimizing log ingestion, developing anomaly-based and ML-driven detection strategies, and integrating these with the Databricks platform. It requires strong software engineering skills, cloud security expertise, and familiarity with distributed computing and ML.

Staff Software Engineer for Search Quality at Databricks, focusing on driving technical direction for ranking, relevance, evaluation, and quality initiatives for Databricks' next-generation Search product. The role involves designing and building systems, models, and evaluation frameworks for multimodal datasets and query patterns, pushing the frontier of retrieval quality for enterprise AI applications, and mentoring engineers.