Raspberry AI jobs

Product Expert United States About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first: We use AI across the entire company - from product to growth to operations - to

Senior Product Engineer United States About the Company Raspberry AI is a leading provider of AI design software for fashion brands and retailers. Our software empowers brands to understand consumer demand and create unique designs in minutes. Using advanced AI analytics and generative AI, we help fashion brands revolutionize their design and merchandising processes. We are a Series A startup backed by top-tier venture capital firms including Andreessen Horowitz (a16z), Khosla Ventures, and Greycroft. Role We are seeking a talented and motivated Full Stack Software Engineer to join our growing team. You will play a critical part in developing and enhancing core components of our AI-powered design platform. What You'll Do - Design, develop, and maintain a frontend generative AI web app (React/NextJS/Typescript) and related backend services (FastAPI/Python) - Develop and maintain RESTful APIs for seamless integration with frontend applications - Collaborate closely with machine learning engineers to translate prototypes into production-ready systems - Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment Qualifications - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - 6+ years of industry experience - Strong programming skills in Python, experience with cloud platforms like GCP or AWS (e.g., serverless functions, containerization), and familiarity with data analysis tools like BigQuery - Experience building web applications and user interfaces for AI products - Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Huggingface) is a plus - Proven experience building and deploying AI-native applications, with hands-on

AI Product Engineer United States AI Product Engineer Raspberry AI Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes. We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft. About the Role We are seeking a Senior AI Product Engineer to build the agentic layer of Raspberry's platform. Today our product gives designers powerful, individual AI tools - image generation, editing, virtual try-on, and more. The next step is making these tools work together autonomously: agents that operate on our collaborative design canvas, chain multi-step creative workflows, and keep designers in control of the output. This role sits at the intersection of AI engineering and product engineering. You'll design agent architectures and ship the product experiences around them - from model orchestration and tool-use to the React interfaces designers interact with. Responsibilities - Build AI agents that take actions inside Raspberry's design platform - triggering generations, chaining outputs across creative AI tools, and orchestrating multi-step workflows - Design the orchestration and tool abstraction layer that exposes Raspberry's creative AI tools as agent-callable actions - Architect end-to-end agentic workflows for batch design operations (e.g., sketch → render → colorway → on-body → tech flat) - Build conversation, review, and approval

Strategic Account Executive New York, United States Strategic Account Executive About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We are backed by Andreessen Horowitz and growing rapidly. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first: We use AI across the entire company - from product to growth to operations - to move faster and produce higher-quality work. What We Offer - Innovative culture: A generational opportunity to define the role

AI Engineering Lead United States AI Engineering Lead Raspberry AI Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our platform empowers global brands to understand consumer demand, generate unique designs within minutes, and revolutionize how products are conceived and brought to market. Backed by Andreessen Horowitz, Khosla Ventures, MVP, and Greycroft , Raspberry AI is transforming a $2.5T industry through cutting-edge generative and multimodal AI . About the Role We are seeking an experienced AI Engineering Lead to drive the next generation of generative AI capabilities powering Raspberry's creative intelligence platform. This person will own development of Raspberry's suite of creative AI tools, spanning image generation, editing and end-to-end design workflows. They will define how models, orchestration and evaluation come together to deliver reliable and powerful design experiences for our customers, and will own the technical direction and quality of the AI systems that power the product. You'll operate at the intersection of research, engineering, and product , shaping how AI drives creativity, collaboration, and impact across the fashion ecosystem. Key Responsibilities - Develop and own the technical roadmap for Raspberry's creative AI tools, spanning image generation, editing, and end-to-end design workflows. - Mentor and guide a small team of ML engineers and researchers , raising the bar on experimentation, code quality, system design, and impact. - Design and evolve the systems and model orchestration in order to improve quality, controllability, and realism in generated designs. - Conduct applied research and rapid

Senior Machine Learning Engineer United States Raspberry AI Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes. We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft. About the Role This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain. Additional responsibilities may be assigned as business needs evolve. Responsibilities - Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques. - Implement and evaluate novel techniques for improving quality and controllability in generated designs. - Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively. - Collaborate closely with the team to translate prototypes into production-ready systems. - Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research. Requirements - Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 3+ years of industry experience. - Strong theoretical and practical understanding of deep learning, with a focus

AI Transformation Lead New York, United States AI Transformation Lead About the Role Raspberry AI is looking for an AI Transformation Lead to help the world's leading fashion and retail brands rethink how product creation happens in the age of generative AI. This is a highly strategic, customer-facing role focused on driving large-scale AI workflow adoption across enterprise organizations. You'll partner closely with design, merchandising, product development, and executive stakeholders to identify high-impact workflows, operationalize best practices, and guide teams through AI-enabled transformation. You'll become an expert in Raspberry AI's platform capabilities and deeply understand how our most advanced customers are integrating AI into their day-to-day workflows. From there, you'll translate successful usage patterns into scalable playbooks, enablement frameworks, and operational recommendations that can be applied across the broader customer base. This role sits at the intersection of AI strategy, workflow design, product enablement, and enterprise transformation. It's ideal for someone who understands both the creative and operational realities of large retail organizations and can influence adoption at scale. Responsibilities - Partner closely with enterprise customers to understand how teams adopt and operationalize AI across creative and production workflows. - Identify high-performing customer workflows and translate them into scalable playbooks, implementation strategies, and best practices for broader customer adoption. - Advise customers on organizational and operational changes required to successfully implement AI workflows across large teams and cross-functional organizations. - Drive AI transformation initiatives across enterprise retail organizations ranging from hundreds to thousands of users. - Work cross-functionally with Product,

Chief of Staff New York, United States Chief of Staff About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first: We use AI across the entire company - from product

Strategic Customer Success Manager New York, United States Strategic Customer Success Manager Raspberry AI · Dumbo, Brooklyn, NY · Hybrid (1 day/week in office) About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than

Head of Enterprise Sales New York, United States Head of Enterprise Sales Raspberry AI · New York, NY · Full-Time About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai . How we work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first:

Product Marketing Manager New York, United States, San Francisco Product Marketing Manager New York, NY · Full-Time · Marketing About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first: We

Strategic Account Executive - EMEA United Kingdom Strategic Account Executive About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We are backed by Andreessen Horowitz and growing rapidly. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first: We use AI across the entire company - from product to growth to operations - to move faster and produce higher-quality work. What We Offer - Innovative culture: A generational opportunity to define the role

Field Marketing Specialist New York, United States Field Marketing Specialist New York, NY · Full-Time · Marketing About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai . How We Work - Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission - we step up, move fast, and hold ourselves accountable to results. - Bias to solution: We're solutions-oriented at heart. We go beyond identifying problems to actively unblocking ourselves and others. - Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative. - Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions. - 1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today. - AI first: We use AI

Revenue Operations (RevOps) United States Revenue Operations (RevOps) About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from concept to market-ready assets - using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We are a Series A company backed by Andreessen Horowitz, Khosla Ventures, and Greycroft , with growing enterprise traction across leading global brands. As we scale, we're building the systems and infrastructure to support a high-performing, data-driven GTM engine. About the Role We're hiring a Revenue Operations professional to build and scale the operational backbone of Raspberry's go-to-market motion. This role will sit at the intersection of Sales, Marketing, Customer Success, and Finance , owning the systems, processes, and data that drive pipeline visibility, forecasting accuracy, and revenue performance. You'll be responsible for creating structure where it doesn't yet exist-owning CRM, reporting, pipeline hygiene, and core GTM processes-while partnering closely with Sales leadership to enable smarter, faster decision-making. This is a hands-on builder role for someone who thrives in early-stage environments and wants to shape how a modern AI company runs its revenue engine. Responsibilities CRM & Systems Ownership - Own and optimize Salesforce (or equivalent CRM) architecture, workflows, and data integrity - Build and maintain dashboards for pipeline, forecasting, and performance tracking - Manage integrations across GTM tools (CRM, marketing automation, billing, etc.) - Ensure

GTM Associate New York, United States GTM Associate - NYC or SF About the Role We're hiring GTM Associates in San Francisco and New York to build the next generation of top-tier enterprise sellers at Raspberry AI. This is not a typical entry-level outbound role. Our GTM Associates run real discovery, break into strategic accounts, partner closely with AEs, and own and close small commercial inbound deals ( . You'll develop true full-cycle muscles early in your career while still being part of a structured, high-caliber outbound engine. This role is designed for ambitious, polished operators early in their career who want fast responsibility , elite sales training, and a clear path to AE promotion (target timeline ~18 months for top performers). You'll be joining a high-ownership GTM team defining what modern, value-driven selling looks like in the AI era-learning directly from enterprise AEs, founders, and product leaders while shaping Raspberry's next stage of growth. Responsibilities Pipeline Generation & Outbound - Break into priority enterprise accounts through personalized, creative outbound strategies (email, social, phone, events, insight-driven content). - Build multithreaded entry points across Marketing, Innovation, Creative, and IT. - Identify buying signals, map stakeholders, and warm up accounts for AEs. Discovery & Qualification - Run structured discovery calls to validate fit, pain, workflow, urgency, and value. - Complete call notes, qualification frameworks, and opportunity handoff packages. - Maintain high standards of polish, executive tone, and preparation. Closing Small Commercial Deals - Own and close inbound commercial opportunities ( - Guide

Solution Engineer II (AI/ML lead) Noida, India Position: Solution Engineer II (AI/ML lead) Job Description: Principal Accountabilities Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. Drive end-to-end solution delivery - including data preparation, model development, optimization, validation, deployment, and continuous improvement. Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. Respond to client RFQs and provide robust technical proposals and solution architectures. Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery. Job Complexity & Impact Demonstrates expert-level depth across machine learning, system integration, and model optimization. Mentors ML teams with minimal supervision. Defines best practices for AI model lifecycle management and process improvements. Solves complex problems by combining innovative and existing methods to deliver production-grade AI solutions. Represents the level at which career may stabilize for many years or even until retirement Work Responsibilities Mentor 2-5 member AI engineering team for full-cycle ML product development. Architect, implement, and optimize AI models for edge computing platforms ensuring high throughput, accuracy and low latency. Develop and benchmark AI model pipelines on NVIDIA Jetson (Nano & Xavier), Qualcomm Snapdragon 835 and i.MX8 platforms or any other constrained platform. To work on platforms like Snapdragon Neural Processing Engine (SNPE), FastCV, Halide, Deep

Senior AI Scientist France Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. Pigment is seeking an experienced AI Scientist with a strong CS background and experience with GenAI and Agentic Architectures to join our innovative and fast-paced team. In this role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you! What you will do : - Work on AI features built on top

Staff Software Developer - Enterprise AI Palo Alto, CA About the team The Enterprise AI team is Rubrik's internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations. Our job is to make Rubrik more efficient, one AI-powered workflow at a time. This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams across Rubrik to bring AI capabilities to life. About the role We're hiring a Staff/Sr. Software Developer to design, build, and operate the platform and backend systems that power Rubrik at scale. You'll own core infrastructure - from Kubernetes and cloud-native services to APIs and developer tooling - and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective. What you'll do - Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success. - Own Kubernetes at depth - clusters, networking, operators, container lifecycle, and multi-tenant orchestration. - Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance. - Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices. - Collaborate across teams - Product, AI, and Security -

Staff Program Manager - Enterprise AI Palo Alto, CA About the team: The Enterprise AI team is Rubrik's internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations - our job is to make Rubrik more efficient, one AI-powered workflow at a time. This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams across Rubrik to bring AI capabilities to life. About the role: As the AI Program Manager on the Enterprise AI team, you'll be the operational backbone that keeps Rubrik's AI initiatives moving with clarity and velocity. You'll own the program management function across all AI workstreams - coordinating cross-functional teams, managing the portfolio of AI pilots and deployments, tracking progress against business outcomes, and ensuring leadership has full visibility into execution status. You bring structure to ambiguity and turn strategic AI goals into delivered results. What you'll do: - Own AI program execution end-to-end - manage the portfolio of AI initiatives across Platform Engineering, Forward Deployed Engineering, Business Operations, and Global Support, ensuring projects move from concept to production on schedule. - Drive cross-functional coordination - serve as the connective tissue between engineering, product, security, legal, finance, and business teams to remove blockers, align priorities, and maintain execution momentum. - Build and maintain program infrastructure

Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference Cupertino, United States of America The Intelligence Platform team empowers clients across Apple's operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these models and continue the development of our inference stack. By contributing to our team, you'll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms. Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our Intelligence Platform. As a Machine Learning Engineer on the Apple Intelligence Platform Inference Tean, you'll join a phenomenal team of top-performing engineers and and will be entrusted with a range of responsibilities. Your tasks will include: Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields. Translating the latest research into high-performing systems and a model serving stack that can be practically applied to enhance user experiences. Contribute

Senior Machine Learning Engineer, AI Agent Genies San Francisco, San Francisco, California, U.S, Genies LA Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. About the Role: We are seeking a highly motivated and passionate Senior Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Be Doing: - Research and implement state-of-the-art solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures, alongside classical machine learning techniques for a multi-modal AI chat product. - Architect, implement, and deliver scalable AI features and agentic systems

Senior/Staff AI Algorithms Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role We're looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization-and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement

Staff Machine Learning Engineer San Francisco, California P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we've launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities - Shape the direction of our applied AI areas and intelligence features in our products . Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). - Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. - Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. - Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user

Member of Technical Staff - Edge Inference Engineer San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Our Edge Inference team compiles Liquid Foundation Models into optimized machine code that runs on resource-constrained devices: phones, laptops, Raspberry Pis, and watches. We are core contributors to llama.cpp and build the infrastructure that makes efficient on-device AI possible. You will work directly with the technical lead on problems that require deep understanding of both ML architectures and hardware constraints. This is high-ownership work where your code ships to production and directly impacts model performance on real devices. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who: - Works autonomously: Given a target device and performance goal, you figure out how to get there without hand-holding. You diagnose bottlenecks, prototype solutions, and iterate until you hit the target. - Thinks at the hardware level: You understand cache hierarchies, memory access patterns, and instruction-level optimization. You can reason about why code is slow before reaching for a profiler. - Bridges ML and systems: You understand how neural networks work mathematically (matrix operations,