Senior Software Engineer Machine Learning Jobs

P-78 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You’ll 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. We’re building the infrastructure that powers the next generation of AI. The impact you will have Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. Interact with turnkey customers and product managers to envision new features and identify areas for improvement. Shape how developers and data scientists build and interact with AI on Databricks. What we look for 5+ years of experience in backend or infrastructure engineering wi

P-1443 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products w

P-1440 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this pas

P-1318 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: BS (or higher) in Computer Science, or a related field 3+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Good knowledge of SQL. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worl

P-1385 Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening? At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Senior Software Engineer on the Customer Foresight Team , you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs. This role requires leading the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success. The impact you will have : Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability Make it easy for frameworks teams across Databricks to publish their data to customers Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products Mentor other engineers towards contributing to the product and the

P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. Design and run the cross-

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India - and are currently in the process of setting up 10 new teams from scratch ! Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform. We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer in the Observability team , you will develop observability solutions that provide insights into the health and performance of our products and infrastructure. The impact you'll have: Establish standards for logging, metrics, and tracing. You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing. You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting. Ensure the scalability

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as: Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: BS (or higher) in Computer Science, or a related field 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language. Experience developing large-scale distributed systems from scratch Experience working

P-951 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript. Passion for user experience and design and a deep understanding of front-end architecture. Comfortable working towards a multi-year vision with incremental deliverables. M

P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others. The impact you will have: Build and extend components of the core Databricks infrastructure Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers Improve software development workflows for engineering and operational efficiency. Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement. Develop automated build, test, and release infrastructures. Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harness

P-160 Who We Are At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript. Passion for user experience and design and a deep understanding of front-end architecture. Comfortable working towards a multi-year vision with incremental deli

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Blockchain Networks team within the Platform group, you'll build the critical infrastructure that integrates blockchain protocols with Coinbase's internal services for new assets, stablecoins, and staking. This team translates complex blockchain operations and state machines into simple, reliable APIs that product teams across Coinbase depend on. You'll own multi-quarter technical initiatives and ship platform primitives that directly improve the latency, reliability, and cost of our crypto stack. What you'll do: Own the design and delivery of blockchain network infrastructure that abstracts blockchain complexity into reliable, platform APIs Lead multi-quarter initiatives including new chain integrations, re-architecture efforts, and data migrations that improve system latency, reliability, and cost Define and maintain APIs, SLOs, and observability for the systems you build, including on-call ownership Partner with product and platform teams to establish data contracts and ship SDKs and platform primitives that drive adoption across Coinbase Build deep technical context across multiple top blockchain protocols (e.g., Bitcoin, Ethereum) and apply that knowledge to simplify cross-chain operations Required Skills and Experience: 5+ years of software engineering experience, with demonstrated ownership of production services in a servi

Location : Bangalore/Pune About Team & About Role: As a Senior Software Engineer (SSE) in the Continuous Product Delivery (CPD) team, you will play a key role in providing long term stability and last mile delight to our customers. You will work closely with the core engineering team, product, and support org. You will be working across Rubrik releases on our on-premise data backup & management offering, with a focus on the identity and access layer that secures it. You are expected to develop a strong understanding of our product and engineering architecture — particularly how authentication and authorization flow through the system, including our integrations with enterprise identity providers, directory services, and certificate-based trust chains. We are seeking a highly skilled Golang developer with deep, practical experience in identity protocols (OIDC/OAuth 2.0, SAML 2.0) and applied cryptography/PKI. As a Software Engineer on this team, you will be responsible for designing, building, and hardening the systems that authenticate users, machines, and services across our platform — reasoning carefully about threat models, not just shipping features. You should have strong programming and troubleshooting skills, excellent design skills, and a solid understanding of distributed systems, OS fundamentals, and networking. The successful candidate will preferably have working knowledge of Active Directory and be able to work independently and as part of a team. Responsibilities Design, build, and harden identity and access flows — OIDC/OAuth 2.0, SAML 2.0, Active Directory integrations — that sit in front of mission-critical systems. Own token and assertion lifecycle correctness: issuance, validation, expiry, rotation, and failure-mode handling for JWT/JWKS and SAML assertions. Apply strong applied-cryptography and PKI practices (X.509 certs, key rotation, TLS) to keep the auth path secure by default, not as an afterthought. Build and maintain reverse-proxy/H

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer on the Orchestration pod within Engine Productivity, you'll design and run the platform that executes large-scale end-to-end and integration tests, running the real, shipping client on real hardware, across Roblox's data centers, cloud, and our own device labs, so our engineering teams can ship the engine, clients, Studio, and more with speed and confidence. Every Roblox engine, client, and Studio change, along with the experiences built on top of them, should ship with confidence, and the Orchestration team is the layer that makes that possible. We build large-scale distributed services that turn thousands of test suites into a reliable, push-button pipeline: fanning work out across fleets of machines and real devices, moving artifacts to where they're needed, managing single- and multi-client test state, and giving test owners and maintainers a system to validate their own runs. It looks a lot like building a specialized cloud platform, with capacity-aware scheduling, isolation and sandboxing, and smart retry and backoff, plus the classic distributed systems problems (fairness, efficiency, failure handling, and reliability) at Roblox scale. You Will: Design a

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Blockchain Networks team within the Platform group, you'll build the critical infrastructure that integrates blockchain protocols with Coinbase's internal services for new assets, stablecoins, and staking. This team translates complex blockchain operations and state machines into simple, reliable APIs that product teams across Coinbase depend on. You'll own multi-quarter technical initiatives and ship platform primitives that directly improve the latency, reliability, and cost of our crypto stack. What you'll do: Own the design and delivery of blockchain network infrastructure that abstracts blockchain complexity into reliable, platform APIs Lead multi-quarter initiatives including new chain integrations, re-architecture efforts, and data migrations that improve system latency, reliability, and cost Define and maintain APIs, SLOs, and observability for the systems you build, including on-call ownership Partner with product and platform teams to establish data contracts and ship SDKs and platform primitives that drive adoption across Coinbase Build deep technical context across multiple top blockchain protocols (e.g., Bitcoin, Ethereum) and apply that knowledge to simplify cross-chain operations Required Skills and Experience: 5+ years of software engineering experience, with demonstrated ownership of production services in a servi