Ml Platform Engineer Jobs

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer for our Anti-Abuse team within Security Foundations. This team is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform — building foundational security primitives across a complex multi-cloud environment to combat fraud, account takeovers, data exfiltration, and AI security threats at the scale of Snowflake’s hyper-growth. AS A SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS AT SNOWFLAKE, YOU WILL: Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud environment Develop intelligent security platforms and services that leverage AI/ML and risk scoring to identify, prioritize, and respond to security threats and policy violations Build real-time detection and prevention systems to defend against account compromise, AI abuse, and data exfiltration through adaptive enforcement and granular policy controls Create security intelligence and monitoring capabilities that detect suspicious account & user activity, generate actionable insights, and enable timely response Partner across Security, Engineering, and Product teams to define security strategy, influence product design, and drive adoption of secure engineering practices Raise the

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advert

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: As a Forward Deployed Engineer at Anyscale, you will partner directly with our most strategic customers, including Spanish-speaking customers across Latin America and other regions, to ensure they achieve meaningful business outcomes with Ray and the Anyscale platform. Embedded within customer teams, you’ll act as a trusted advisor, aligning technical solutions with customer priorities, accelerating time-to-value, and driving adoption at scale. You’ll work across customer organizations — from technical leadership to individual contributors — to scope and deliver impactful solutions. By connecting insights from the field back to our product and engineering teams, you’ll help shape Anyscale’s roadmap and ensure we remain focused on solving our customers’ most critical challenges. In this role, you will: Work onsite with key customers to lead proof-of-value engagements, deployments, and enterprise adoption Translate business objectives into technical solutions that demonstrate clear ROI and strategic impact Build and deliver high-impact demos, reference architectures, and enablement programs tailored to customer needs Act as a trusted advisor across all levels of the organization, ensuring confidence in Anyscale and

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI team, you’ll be directly responsible for developing the platform used by our debugging agents. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring. Your work will help companies around the globe gain actionable insights into their software, enabling them to build better products, faster. In this role you will Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own the development of major initiatives in the AI/ML space You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications Minimum 5+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field Demonstrated expertise building production-grade agentic systems and tools You are comfortable writing production quality code (we use Python and Typescript) Familiarity with deep learning frameworks (we use PyTorch) Familiarity in deploying machine learning models at scale in production environments The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir Foundry is an end-to-end platform for data-driven decision-making. We're transforming the way organizations securely integrate their data, so they can then build reliable, critical applications atop that unified foundation. Our customers use Foundry to perform rich analyses that drive core operations within their organizations. They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Full Stack Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users to build the sophisticated applications that power their businesses. You will be architecting and developing interfaces, state management and access patterns to support data-intensive workflows that are both powerful and approachable. You may spend one day interviewing users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself considering that customer context along with signal gathered from other customers in different industries, brainstorming approaches to handling intricate UX needs with your teammates. You’ll regularly be faced with sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, or work with other backend engineers in developing them together. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users t

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir Foundry is an end-to-end platform for data-driven decision-making. We're transforming the way organisations securely integrate their data, so they can then build reliable, critical applications atop that unified foundation. Our customers use Foundry to perform rich analyses that drive core operations within their organisations. They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Full Stack Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users to build the sophisticated applications that power their businesses. You will be architecting and developing interfaces, state management and access patterns to support data-intensive workflows that are both powerful and approachable. You may spend one day interviewing users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself considering that customer context along with signal gathered from other customers in different industries, brainstorming approaches to handling intricate UX needs with your teammates. You’ll regularly be faced with sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, or work with other backend engineers in developing them together. We're hiring engineers who are passionate about solving real-world problems and empowering both customer app builders and

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Senior Perception ML Data Infrastructure Engineer, you will own the critical bridge between our autonomous vehicle hardware, our human labeling operations, and our ML models. You will take ownership of our core native perception data platform. This is not a standard web development role; the stack is deeply adjacent to our core robotics infrastructure. You will be dealing with massive, dense 3D point clouds at a scale that pushes the boundaries of industry state-of-the-art, alongside complex sensor parsing, pipeline propagation, and rigid performance constraints. You will operate in highly ambiguous environments, inheriting complex systems, establishing strict API boundaries, and building the "good enough, fast enough" infrastructure that guarantees our ML models learn from high-quality data. About the wo

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The behavior team at Nuro develops the Nuro Driver’s prediction and planning systems to enable safe, driverless autonomy. We are looking for strong software engineers to research, develop, and implement technologies for Nuro’s planning stack to empower all rides on all roads. This encompasses building a generalizable and scalable ML planner that can power L4 driving for robotaxi applications as well as serve as an L2 solution for the largest auto manufacturers in the world. Operating domains of the Nuro Driver™ vary from structured surface streets and highways to more unstructured areas such as parking lot driving, parking and multi-point turns in busy traffic situations. You’ll be developing state-of-the-art algorithms to enable the Nuro Driver to safely and reliably plan and navigate complex situations in a human-like manner. You will work on intelligent strategies on how to leverage diverse data to have the biggest impa

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible. Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Engineers across the company rely on this platform daily to an

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines. About the Role Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation. About the Work Research, develop, and implement state-of-the-art online mapping models and algorithms. Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system. Work cross functionally with other ML teams to integrate our models

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role On the Autonomy Visualization team, your top priority will be developing high-quality visualization platforms. These platforms will allow any software engineer to add new viz elements. Additionally, you’ll also have the opportunity to work end-to-end on viz features and products, exercising both your technical skills, product sense, and cross-functional communication. About the Work As an Autonomy Visualization Software Engineer, you’ll build business-critical tools that accelerate the development of Nuro’s autonomous driving technology. Build performant visualization frameworks in both C++ / OpenGL and Unity to serve multiple critical functions like autonomy development and validation, triage tools, and in-car visualization. Be a partner to Autonomy engineers as they seek to improve their development workflow with better visualization. Collaborate with ML Labeling teams, as they seek to gather high-quality training d

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. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions for a platform serving 200M+ daily active users. As a Principal Software Engineer in our Data Infra org, you will be the primary technical leader driving the strategic vision, long-term architecture, and massive scalability of our distributed data platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role operates under high ambiguity, demanding unparalleled ownership to redefine the limits of infrastructure handling exabyte-scale workloads, and providing a unique opportunity to lead the future evolution of our global data ecosystem. You Will: Define Multi-Year Technical Strategy: Own and drive the end-to-end architectural vision for Roblox's core data platforms spanning Kafka, Flink, Spark, Trino, Druid, Airflow, and Data Catalog systems. Turn multi-year company strategies into concrete, production-grade infrastructure blueprints. Lead Cross-Functional Alignment: Partner closely with executive leadership, platform governance, data science, and product e

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 member of the Infrastructure Foundation Hardware Engineering team, you will play a key role in enabling our mission to deliver a reliable, high-performing, and cost-efficient infrastructure that powers the world’s play. In this specialized role, you will be the technical lead for our GPU and AI accelerator ecosystem. You will be responsible for the full lifecycle of GPU hardware, from initial architectural evaluation and firmware qualification to large-scale fleet integration and performance tuning. You will ensure that Roblox’s massive-scale rendering and ML workloads run on the most optimized and stable hardware possible. You Will: Architect & Prototype: Prototype next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware. GPU Optimization: Drive the integration, performance testing, and debugging of GPUs in our fleet, focusing specifically on hardware-level optimizations, driver tuning, and thermal/power management. Validation & Certification: Develop and execute rigorous evaluation and stress-testing strategies for GPU-heavy server platforms to ensur

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. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY BOT DEFENSE? Roblox is a prime target for automated scripts that cause harm to our users, and creators. Join our Bots and Spam team, where you will tackle the critical challenge of safeguarding the platform against sophisticated bot threats. While our current team Backend and ML engineers have made tremendous