Senior Machine Learning Engineer at Databricks | San Francisco

Are you a dedicated Developer Advocate with a passion for bridging the gap between technology and the developer community? If you thrive on connecting with others, hosting engaging events, and diving into the nuances of application development and developer experience, we want to hear from you!As a Senior Developer Advocate at Databricks on the Neon DevRel team, you'll play a pivotal role in linking our engineering teams with an expanding community of application and agent developers utilizing Postgres and Neon. Your technical acumen will be essential in maintaining and enhancing our SDKs, educating users, and shaping the future of Agent and Developer Experience (AX & DX) for Neon.Developer experience will be central to your responsibilities. You will help enhance our TypeScript SDK and CLI, manage Neon’s MCP server, and develop other developer-oriented tools, all while keeping ahead of the evolving AI landscape. Your expertise in DevTools and AX will be shared through presentations, meetups, blog articles, videos, and community interactions, empowering developers to build more effectively with Neon and demonstrating our commitment to exceptional Developer Experience (DX) and Agent Experience (AX).Collaboration will be key as you work closely with the neon.com community, product teams, and engineering staff, ensuring that developer feedback directly influences product direction. You'll also partner with fellow advocates, program managers, and the broader Databricks DevRel organization to create a cohesive and impactful strategy for agent experiences.The ideal candidate will embody the core values of our DevRel team: a profound enthusiasm for application development, strong empathy for developer needs, and the ability to convey complex concepts with clarity and effectiveness.In this role, you’ll foster and expand the Neon community through top-notch technical content and hands-on experiences, continuously feeding insights back into the product to further enhance the developer experience.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission Join our team as a Solutions Architect, where you will play a pivotal role in empowering large enterprises to harness the full potential of their data. Collaborating closely with the Enterprise Account Executive (AE), you will define and implement the technical strategy for our most significant accounts, driving deeper and wider adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your expertise in value-based selling, technical account management, and leadership will be key in maximizing client success. You will work alongside a dedicated team that builds proofs of concept and showcases Databricks' innovative products. A strong technical understanding of ML and AI applications across various use cases relevant to the High Tech and Manufacturing sectors is essential. Outcomes Act as the primary technical voice for Databricks across multiple clients. Guide customers through a transformational journey, facilitating their evaluation and adoption of Databricks solutions. Implement tailored technical strategies within accounts based on a deep understanding of their needs. Foster a network of technical champions within client organizations. Align technical strategies with Databricks solutions effectively. Provide structured mentorship to enhance the skills of team members. Earn respect from peers through your experience, insights, and contributions. Competencies: Expertise in establishing and leading virtual teams to achieve success within client accounts. Experience managing large global accounts with an annual recurring revenue (ARR) exceeding $1 million. Ability to build relationships with executives and key influencers. Skill in presenting persuasive viewpoints to decision-makers, steering them toward successful outcomes. Strong technical background in big data, data science, and cloud technologies. Proven ability to drive data-driven business transformation. Programming experience in Python, R, Scala, or Java. Preferred: Databricks Certification.

Location: San Francisco, Bellevue, AmsterdamRole Overview: Are you a well-respected technical authority in Generative AI and MLOps, eager to shape the future of production AI Agentic Systems? This Senior Developer Advocate position offers a unique opportunity to take strategic ownership over developer engagement and technical discussions surrounding Agent Bricks on the Databricks Data Intelligence Platform.As a vital link between our engineering teams and the global developer community, you will enhance the careers of data scientists and AI engineers by integrating advanced research, customer insights, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will play a key role in fostering a global community for AI Agentic workflows and LLMOps, with a particular focus on MLflow and Agentic System governance.More About The DevRel TeamAt Databricks, we are dedicated to empowering data and AI teams to tackle the world's toughest challenges. Our mission in Developer Relations (DevRel) is to support data practitioners, data scientists, and the wider developer ecosystem by building vibrant communities, creating exceptional content, and nurturing a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.The Impact You Will HaveYou will utilize your technical expertise, community-building capabilities, and market insights to drive awareness and adoption, establishing Databricks as the premier technical leader in enterprise AI governance and Agentic Systems.Strategic Roadmap Ownership: Develop and implement the global technical advocacy strategy and roadmap for a critical aspect of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product objectives and measurable metrics.Evangelism: Collaborate with field AI engineers to design and deploy production-grade reference implementations and create impactful live demonstrations that address real-world enterprise GenAI challenges, highlighting best practices in performance, evaluation, and security. You will advocate for Agent Bricks as the definitive solution to 'Take your AI to your Data.'Technical Content Scaling: Produce high-quality, actionable educational resources, including comprehensive course materials and documentation.

Join Databricks as a Senior Backend Software Engineer and contribute to solving some of the world's most challenging problems. We empower data teams through our state-of-the-art data and AI infrastructure platform, enabling businesses to leverage deep data insights for transformative growth. At Databricks, founded by engineers and driven by a customer-first philosophy, we tackle technical challenges with enthusiasm — from designing next-gen UI/UX for data interfacing to scaling our services across millions of virtual machines.In this role, you will collaborate closely with your team to develop scalable infrastructure and innovative products for the Databricks platform.

About AdvocateAdvocate (joinadvocate.com) is revolutionizing the way Americans access government benefits. Our mission is to minimize the time between need and relief to zero. We have made remarkable strides by integrating proprietary AI-driven technology with compassionate human care. This innovative approach not only delivers an exceptional experience for our claimants but also aids our government partners by alleviating administrative burdens and facilitating efficient eligibility assessments.Having validated the effectiveness of our cutting-edge AI technology, we are now dedicated to expanding the reach of our services and the operational framework that supports it. This unique endeavor demands a blend of technological precision and human-centered support.Tech Operations at AdvocateThe Tech Ops team at Advocate is the backbone of our organization. We bridge the gap between technology, marketing, and operations, ensuring these functions are seamlessly aligned as we grow. Unlike a traditional IT support desk, we are hands-on builders, working alongside our internal users who directly support our claimants. Our mission encompasses two main objectives:1. Immediate Agility: We maintain operational continuity and system functionality. When obstacles arise in production, we are there to resolve them, ensuring our team can assist claimants without disruption.2. Sustainable Scalability: We don’t merely address issues; we analyze trends. By identifying recurring operational challenges, we develop scalable tech solutions that permanently eliminate these hurdles.The Tech Ops team empowers those who serve our claimants, enabling them to perform at their best every day while advancing our mission to reduce time-to-relief to zero. The OpportunityWe are looking to hire two Product Engineers to join our Tech Ops team. If you join us, you will have the opportunity to lead various impactful projects:

Join Figma as a Developer Advocate, where you will play a pivotal role in bridging the gap between our innovative design platform and the vibrant developer community. As a passionate advocate, you will empower developers to maximize their productivity using Figma, sharing insights, creating engaging content, and fostering a collaborative environment.Your responsibilities will include organizing workshops, writing technical documentation, and engaging with users through various channels to elevate their experience with our tools. You will also work closely with product teams to relay community feedback, ensuring that our offerings meet the needs of developers.

Join Greptile as a Developer Advocate, where we are pioneering the development of AI agents that autonomously validate code changes. Our current focus is on creating AI that reviews pull requests in GitHub, catching bugs and enforcing coding standards. With nearly 1 billion lines of code reviewed monthly across over 3,000 companies, your contributions will help shape the future of AI in the developer ecosystem.In this role, you will serve as a public advocate for our users and the AI developer community, ensuring clarity and success in product adoption.Key Challenges We Aim to AddressAmidst the noise in AI coding discussions, can we establish trusted signals that developers can rely on?Code quality is subjective yet crucial. How can we exemplify readable and maintainable code effectively?Most developer relations content lacks a strong voice. Can we merge marketing and documentation with a genuine perspective?Product launches often fail due to unclear narratives. How can we make every release straightforward and beneficial for users?Company Growth TrajectoryOver 7,000 customers served.Secured $30 million from investors including Benchmark, Y Combinator, Paul Graham, and Initialized Capital.Our TeamWe have assembled a highly skilled team that has successfully scaled operations in companies such as Stripe, Google, and Figma.ResponsibilitiesActively participate in AI coding discussions. Monitor trends, publish insights, and lead key projects like the State of AI Coding Report.Promote Greptile’s narrative and features by transforming our offerings into clear messaging, demonstrations, and trustworthy examples.Manage product launches and customer communications. Draft announcements, walkthroughs, and release notes to ensure successful feature adoption.Maintain accurate and helpful documentation. Enhance onboarding processes, quick starts, examples, structure, and clarity for seamless user experiences.Foster adoption within open-source communities and high-impact teams. Identify valuable repositories and contributors, assist with Greptile integration, answer queries, and gather feedback.

P-150 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to the development of cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, California, to a global enterprise with over 1000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, establishing us as one of the fastest-growing SaaS firms worldwide. Our engineering teams design and develop highly technical products that meet significant real-world needs. We continually push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from any disruptions. As a Software Engineer focused on backend development, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate microservices for the Databricks platform and products. This role includes writing software in Scala/Java, building data pipelines using Apache Spark™ and Apache Kafka, integrating with third-party applications, and interacting with cloud APIs such as AWS, Azure, CloudFormation, and Terraform. Below are examples of teams you can join: Data Science and Machine Learning Infrastructure: Develop services and infrastructure that bridge the gap between machine learning and distributed systems. Our technology supports flagship collaborative workspaces, notebooks, IDE integrations, and project management tools. We also facilitate large-scale machine learning through environment management, distributed training, and lifecycle management via MLflow. Compute Fabric: Construct the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic manner. This software oversees millions of virtual machines.

Join the Pinecone Team!Pinecone is the premier vector database designed to empower developers in creating accurate and high-performance AI applications at scale. Our mission is to enhance AI's understanding and capabilities. With over 9,000 customers spanning diverse sectors, Pinecone's user-friendly technology allows for rapid and assured deployment of AI applications. Headquartered in New York, Pinecone has successfully secured $138M in funding from renowned investors including Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.About the Role:We are seeking a dynamic Senior Developer Advocate to take charge of the Pinecone community, both online and offline, with a strong emphasis on fostering a vibrant presence in the SF/Bay Area. This role is tailored for a seasoned technical communicator who excels in building relationships with developers, managing impactful programs, and effectively converting community insights into valuable product feedback and informative learning experiences.Success in this position requires the ability to educate and demonstrate the capabilities of Pinecone’s AI products, guiding developers in creating reliable and scalable AI applications where knowledge and data retrieval are pivotal. You will convert best practices into engaging tutorials, brief videos, documentation contributions, hackathon guidance, and social media content. As our team and customer base grow rapidly, comfort in working autonomously and making sound decisions in a fast-paced environment is essential.If you are passionate about:Exploring new technologies and empowering others to succeed with them.Being a key player in an exciting and expanding community.Influencing the trajectory of a fast-growing company and product area.Collaborating with colleagues who prioritize clarity, creativity, enthusiasm, initiative, and thoughtfulness.We would love to hear from you!

Join Databricks as a Senior Product Manager for Unity Catalog, where we are dedicated to empowering data teams to tackle the world's most pressing challenges. Our innovative data and AI infrastructure platform is designed to help customers harness deep insights to enhance their business operations. Founded by engineers and driven by customer feedback, we eagerly take on technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines.In this role, you will oversee all product activities for Unity Catalog, the foundational metadata and governance layer for the Lakehouse. This includes implementing fine-grained security, governance capabilities, and productivity features like data lineage, search, discovery, auditing, and compliance for our customers' data and AI assets.Your responsibilities will involve coordinating product vision to implementation, engaging with large enterprise clients to ascertain their needs, developing strategic product roadmaps, collaborating with engineering to bring products to life, and liaising with various internal stakeholders to ensure successful product outcomes.Your Impact:Design and implement new governance and security features as part of Unity Catalog.Define and develop platform services that empower Databricks’ data & AI product teams, including ML/AI, Data Science & Engineering, and Data Warehousing, to seamlessly integrate workload-specific governance enhancements.Drive the lifecycle of new features from ideation through customer engagement to launch, including marketing strategies and ensuring broad customer adoption across all segments.Provide insights on the data governance landscape, customer needs, and market trends to engineering and leadership teams through close collaboration with customers and partners.

At Databricks, we are driven by our mission to empower data teams to tackle the world's most challenging problems—whether it's realizing the next mode of transportation or accelerating medical advancements. Our dedication is to build and operate the premier Data and AI infrastructure platform, enabling our clients to harness deep insights from data to enhance their operations. We are on the lookout for a Senior Engineering Manager to join our Photon team, playing a pivotal role in defining the next generation of ultra-fast, scalable data processing solutions. In this role, you will lead a team of exceptional engineers working on Photon—the innovative query engine that powers Databricks' groundbreaking Lakehouse Platform. This is a unique opportunity to drive innovation on a grand scale, optimize data systems for tangible results, and collaborate with top experts in query optimization, execution, storage, and large-scale analytics. If you are passionate about empowering teams, architecting groundbreaking technologies, and accelerating analytics for millions of users, we invite you to join our team.

Advocate is a purpose-driven organization dedicated to empowering individuals to access essential government benefits and support. We leverage expert advocacy paired with cutting-edge technology to simplify complex processes for claimants.Join our dynamic team as a Tech Support Specialist, where you'll play a pivotal role in problem-solving and troubleshooting. Your expertise will help us design and implement systems that proactively address issues, ensuring seamless operations as we scale for the future.

The Applied AI team at Databricks is at the forefront of pioneering GenAI-powered products. In recent years, we have successfully launched the Databricks Assistant, AI/BI Genie, and Agent Bricks, collaborating with product teams to significantly enhance LLM quality for these offerings. These innovations are utilized by hundreds of thousands of Databricks users daily. We are dedicated to solving complex challenges such as code suggestion, error detection and correction, text-to-SQL generation, automatic pipeline generation, and knowledge QA.As we continue to evolve our GenAI products, we are looking for multiple GenAI Engineers at various experience levels to lead the next phase of our development. Our goals for 2025 include improving LLM quality, broadening GenAI capabilities across Databricks products, and reinforcing our platform architecture to facilitate seamless AI interactions on a large scale.

About This Role Join Databricks as a Software Engineer focused on GenAI inference, where you will play a pivotal role in designing, developing, and enhancing the inference engine that drives our Foundation Model API. Collaborating at the intersection of research and production, you will ensure our large language model (LLM) serving systems are optimized for speed, scalability, and efficiency. Your contributions will span the entire GenAI inference stack, from kernels and runtimes to orchestration and memory management. What You Will Do Participate in the design and implementation of the inference engine, collaborating on a model-serving stack tailored for large-scale LLM inference. Work closely with researchers to integrate new model architectures or features such as sparsity, activation compression, and mixture-of-experts into the engine. Optimize latency, throughput, memory efficiency, and hardware utilization across GPUs and other accelerators. Build and maintain tools for instrumentation, profiling, and tracing to identify bottlenecks and inform optimization efforts. Develop scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads. Ensure reliability, reproducibility, and fault tolerance in inference pipelines, including A/B launches, rollback, and model versioning. Integrate with federated and distributed inference infrastructure, orchestrating across nodes, balancing load, and managing communication overhead. Engage in cross-functional collaboration with platform engineers, cloud infrastructure, and security/compliance teams. Document and share insights, contributing to internal best practices and open-source initiatives as appropriate.

Join Databricks as a Financial Analyst within our Sales Finance team, part of the FP&A organization. In this role, you'll work closely with the Senior Manager of Finance to drive strategic financial insights that will optimize our investments for long-term growth.Your responsibilities will include serving as a trusted advisor to Sales and Finance leadership, delivering actionable insights and recommendations that foster sustainable growth. You will enhance forecast reliability, improve corporate reporting, establish robust processes, and scale our systems to support business expansion. Key tasks include analyzing product usage trends, tracking key performance metrics, and collaborating on executive-level presentations.

At Databricks, we are committed to empowering organizations to unlock the full potential of data and artificial intelligence. Our goal is to create the premier platform for the development, deployment, and management of AI applications at scale, enabling our customers to leverage intelligent solutions to revolutionize their businesses.About Our Team:The Databricks AI team is pioneering how businesses utilize artificial intelligence. Our mission involves creating foundational capabilities that allow customers to build agents and models, manage intricate workflows, and integrate AI seamlessly into their data and applications. As the AI landscape evolves rapidly, our approach requires innovative thinking and the adaptability to navigate these changes. We are not merely creating features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Shape the future of enterprise AI: Define and advance the vision of how Databricks empowers customers to harness generative AI, agents, and groundbreaking workloads.Transform breakthroughs into products: Collaborate with top-tier engineering and research teams to convert state-of-the-art AI innovations into reliable tools for millions.Expand possibilities for customers: Work closely with data and AI leaders to identify novel use cases and design products that make the previously unfeasible achievable and replicable.Be the voice of vision and execution: Inspire the roadmap from concept to launch, steering engineering efforts and articulating how Databricks AI transforms customer capabilities.Build for scale and longevity: Establish the strategies and principles that will guide Databricks AI for years to come, even as the industry undergoes rapid changes.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

At Trunk, we are dedicated to empowering software development teams to deliver high-quality code at unprecedented speeds. Our innovative solutions have supported engineering teams from renowned companies such as Google X, Zillow, and Brex, helping them identify build failures, manage flaky tests, and enhance the speed of code deployment without compromising reliability. While AI has significantly accelerated code writing, the deployment process still faces numerous challenges, including merge conflicts, inconsistent code quality, and various productivity drains. We are committed to building a Continuous Integration (CI) Reliability Platform that enables teams to land code more efficiently and foster a more satisfying development experience.Founded in 2021 by experienced professionals from Uber, Google, YouTube, and Microsoft, Trunk has successfully raised a $25 million Series A funding round led by Initialized Capital and Andreessen Horowitz, with contributions from Haystack Ventures, Garage VC, and various tech leaders.We are on the lookout for an enthusiastic Senior Developer Advocate to spearhead our efforts in raising developer awareness and engagement. This role involves being the face of Trunk within developer communities, at conferences, and across multiple content platforms. Beyond content creation, you will be responsible for analyzing what drives engagement and continuously optimizing our strategies. As CI reliability is a novel field with no established guidelines, your contributions will be vital in shaping how developers learn about and discuss CI reliability.Your primary objective will be to enhance developer awareness. While the responsibilities listed below reflect our initial thoughts, we encourage you to challenge and refine them based on your insights and experiences. The ultimate goal is to increase developer reach and interest, and you will have the autonomy to determine the best path to achieve this.