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As an ML Infra Engineer (Data Systems), you'll build and operate the data infrastructure that powers large-scale robot learning. Your systems will sit directly between raw data sources and training/evaluation, enabling us to move faster while maintaining performance, correctness, and reliability at scale. This is a systems role at the intersection of distributed systems, storage, and machine learning infrastructure. The Team The Infrastructure organization builds the foundations that make large-scale learning possible at PI. This includes training systems, data platforms, evaluation... more ->
About the Role Salesforce is seeking an experienced, versatile, and mission-driven Software Engineer (LMTS) with a Big Data focus to join a team leveraging advanced algorithms, Big Data technologies, and generative AI to build process intelligence capabilities in the Agentforce platform. You will drive the development of features and integrations that will enable companies to leverage massive volumes of data from myriads of sources to discover, automate, and optimize their business processes. You will bridge the gap between "Data Engineering" and "Software Engineering" - writing high-quality... more ->
Job Requisition ID # 26WD94931 Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You'll lead the... more ->
Overview The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with... more ->
Sr. Staff Software Engineer - Data Platform RDQ126R106 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... more ->
About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of... more ->
Slack is looking for a Senior Software Engineer to join the Data Infrastructure team within the broader Data Engineering organization. The mission of our team is to build secure, reliable, and cost-efficient infrastructure that powers Slack's data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack. Our systems power critical workflows - from batch and streaming ingestion to Real Time analytics and orchestration. We're looking for strong technical leaders... more ->
About the Role As a Partner Engineer for Data Collaboration, you act as a technical specialist supporting strategic partners as they architect and build their data collaboration strategy on Databricks. You will prototype, evaluate, and implement best practices for data sharing, governance, and data productization, working directly with partner data teams to drive adoption of Databricks Marketplace, Delta Sharing, and Databricks native architectures. Key Responsibilities Lead end-to-end technical engagements with partners including onboarding, POC execution, data product evaluation, and... more ->
RDQ427R152 About the Role As a Partner Engineer for Data Collaboration, you act as a technical specialist supporting strategic partners as they architect and build their data collaboration strategy on Databricks. You will prototype, evaluate, and implement best practices for data sharing, governance, and data productization, working directly with partner data teams to drive adoption of Databricks Marketplace, Delta Sharing, and Databricks native architectures. Key Responsibilities Lead end-to-end technical engagements with partners including onboarding, POC execution, data product evaluation,... more ->
About Zuma Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property manager alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market. Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We're on the hunt for... more ->
Overview We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple's next-generation Generative AI platform. This role blends deep systems thinking, scalable Back End development, and cutting-edge GenAI technologies such as Retrieval-Augmented Generation (RAG) and Agentic frameworks. You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you're excited about building production-grade GenAI infrastructure and solving hard distributed... more ->
Overview At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread... more ->
About Mixpanel Mixpanel is an event analytics platform for builders who need answers from their data at their fingertips-no SQL required. When everyone in the organization can see and learn from the impact of their work on product, marketing, and company revenue metrics, they are poised to make better decisions. Over 9,000 paid customers, including companies like Netflix, Pinterest, Sweetgreen, and Samsara, use Mixpanel to understand their customers and measure progress. Our commitment is to provide the most comprehensive and reliable analytics platform accessible and trusted by all. About... more ->
About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the... more ->