Stability AI jobs

Applications Developer IV General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We currently have an exciting opportunity for an AI & Automation Engineer to work within our GA-ASI Finance Solutions (FS) team in Poway, CA. The person selected for this role will be responsible for partnering with FS team members, Information Technology Services (ITS) and the business at large to lead our Finance & Administration (F&A) group in leveraging emerging technologies in the Artificial Intelligence (AI) space to deliver solutions which drive value to the business through transformative automation. These solutions may include Generative AI, Large Language Models (LLMs), Advanced Analytics through Machine Learning (ML) and Agentic AI in addition to standard Data Science. With the increase in available AI tools & technologies, this role will be responsible for being a conduit into these rapidly evolving capabilities, suggesting solutions to business needs by embedding within our teams to learn how we functionally operate. This may also include translating business needs into functional requirements documents, communicating those requirements to Information Technology technical staff, developing and testing solutions, and participating in the roll out and stabilization of these solutions to the business. DUTIES AND RESPONSIBILITIES: AI & Machine Learning Development - Design, build, and deploy AI/ML solutions (including LLMs, agents, and predictive models) to provide advanced descriptive, diagnostic, predictive, and prescriptive insights across finance and administrative functions. -

Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto Palo Alto About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and

Data & Systems Developer London The Role: The Data & Systems Developer will play a critical role in maintaining and modernising the Branch's data and systems landscape, working as part of a dynamic, collaborative team at the heart of the business. The role will take ownership of the development, setup, and ongoing enhancement of local & group solutions. The position will also be responsible for the maintenance, stability, and evolution of the data and analytics estate, including Nucleus and associated reporting solutions, ensuring that the business is empowered to utilise our data. Duties & Responsibilities: Platform & Solution Development • Design, build and maintain new solutions using Databricks, R, Python and Power BI, which support users across the business. • Design and build processes to support the new Single Risk system. • Apply strong software engineering principles to structure scalable, maintainable systems and processes. • Support the ongoing development and maintenance of Nucleus, our data repository. • Contribute to architectural decisions across the data and reporting landscape. • Support the provisioning of data to business users • Ensure reporting solutions are robust, well-governed, and aligned to business and regulatory needs. • Keenness to explore AI integration into our technology landscape Migration of data landscape • Support the retirement of our legacy technology landscape (including Nova), ensuring continuity, stability, and risk mitigation. • Support the ongoing maintenance of ex

Machine Learning: Whole-Body Control San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: Whole-Body Control We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world. You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment. What You'll Do - Train whole-body policies for locomotion, manipulation, and coordinated motion. - Build scalable simulation environments

Software Development Test Engineer Bangalore, India Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Meet the Team At Cisco Industrial IoT (IIoT), we're shaping the future of digital experiences through secure, AI-powered connectivity. Our innovative networking platforms and AI-driven portfolio empower businesses to thrive in a connected, resilient world. As part of our Cisco IIoT organization, you'll join a dynamic team working as AI System Test Engineer - in system testing and developing AI tools, solutions using AI/ML, to help top global brands build flexible, secure, and efficient industrial networks. Your Impact As an AI System Test Engineer, you make an impact by designing and developing AI/ML-based tools and frameworks for functional testing of Cisco products, ensuring quality and stability from a system/solution perspective that simulates customer environments with IIoT deployments. Work with AI/ML tools in developing, testing, and maintaining AI-driven solutions for network monitoring, automation, and optimization. Participate in automation initiatives using scripting, AI tools, and modern networking frameworks. Stay updated with emerging trends in AI, networking technologies, and automation practices. Contribute to internal tools, proofs-of-concept, and innovation projects related to AI-enabled network Collaborate with senior engineers to design, test, and deploy network and AI-based features or enhancements. Monitor system performance, investigate anomalies, and contribute to root-cause analysis and resolution. Support day-to-day network engineering activities, including configuration

Forward Deployed Engineer (Agentic AI) 2 Locations posted: Posted 15 Days Ago

Staff Embedded Software Engineer, Lasers Mountain View, CA Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world's first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! This unique opportunity focuses on defining the control plane architecture for next-generation photonic interconnect products and implementing active laser control and stabilization algorithms. You will leverage your proven history of shipping embedded systems at scale to deliver products that enable extreme-scale artificial intelligence computing clusters. Your expertise will make a profound and visible impact on the business by directly enabling the next generation of computing technology. Responsibilities - Collaborate across a multidisciplinary team including Photonic, Analog, Digital, Systems and Network experts to define control plane architecture for Lightmatter's photonic interconnect products. - Define diagnostics and monitoring architecture for photonic transceivers. - Implement active laser control and stabilization algorithms in collaboration with a cross-functional design team. - Integrate with DataCenter administration

AI Research Engineer - ML Engineering Berlin; London; Munich Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms. What you will do: - Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for

Senior Machine Learning Research Engineer San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About this role As a ML Research Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems

Software Engineer San Jose, California, United States The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova is hiring Software Engineers for SambaNova's SambaStack platform. We are helping enterprises and service providers host their own AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Engineer on the SambaStack team, you will further improve performance, scalability, and reliability while introducing new features and capabilities to our state-of-the-art inference serving platform. This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Key Responsibilities - Ensure the continued stability, scalability, and performance of our AI inference platform . - Collaborate with

Senior Manager, Product Design Palo Alto, CA Senior Manager, Product Design Location: Palo Alto, US About Rubrik Join the public powerhouse that is securing the future of AI. Rubrik has officially entered a new era. Fresh off a headline-making successful IPO and boasting over $1.3 Billion in ARR , we have the market stability of a giant and the hunger of a startup. We've already conquered Data Security-now, we are pivoting to our most ambitious mission yet: Securing and Accelerating the World's AI Transformation. As a Senior Manager, Product Design at Rubrik, you will be pioneering the next generation of User Experiences for the enterprise! From AI to air-gapped immutable backups to defending against ransomware, our tech stack is the definition of cyber resilience. We are a Gartner Magic Quadrant Leader and a winner of the Red Dot & iF Design Awards because we believe security and protection should be powerful and usable. Come build the safety net for the AI generation. About Team & About Role: Our design team is strong and mighty, with about 60 amazing individuals from all walks of the industry and life located worldwide. As our company and our products grow rapidly, it is crucial to scale the experience of our product and our design team in the right way and with the right people. Every hire counts! We are seeking a Senior Manager, Product Design for our Palo Alto site. This is a pivotal leadership role where you will not only oversee a talented

Site Reliability Engineer - Ops & Automation Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI. This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff

Senior Manager - Data Platforms Toronto Requisition ID: 255229 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Senior Manager - Data Platforms will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank's most significant enterprise wide strategic initiatives. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank. The Senior Manager - Data Platforms will be responsible for managing the Data & AI platforms by leading a team of engineers to ensure smooth running & upkeep of the underline platforms. Combining technical expertise with people management, you and your team are key to ensure the stability, scalability & security of data platforms by working with various groups within the Bank to ensure operational hygiene of the platforms is maintained and they are compliant, resilient, available, secure, up to date, risks free etc. A great team leader who will develop, tone & retain cross functional team by managing their day-to-day activities & year end goals. Is this role right for you? In this role, you will: Guidance and Direction: Provide clear direction to the team, set goals, and keep the team accountable for their deliverables. Align team goals with the overall direction of the Data & AI technology roadmap and enterprise standards. Relationships: Build and maintain strategic partnerships with key stakeholders to facilitate the effective delivery of opera

Senior Engineer II, AI Inference Engine Systems San Francisco Senior Engineer II, AI Inference Engine Systems

Senior Mechanical Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide

Senior Product Designer Tel Aviv, Israel Senior Product Designer Based in the Tel Aviv office, in a hybrid model. About Rubrik Join the public powerhouse that is securing the future of AI. Rubrik has officially entered a new era. Fresh off a headline-making successful IPO and boasting over $1.3 Billion in ARR , we have the market stability of a giant and the hunger of a startup. We've already conquered Data Security-now, we are pivoting to our most ambitious mission yet: Securing and Accelerating the World's AI Transformation. As a Rubrik designer, you will be pioneering the next generation User Experiences for the enterprise! From AI to air-gapped immutable backups to defending against ransomware, our tech stack is the definition of cyber resilience. We are a Gartner Magic Quadrant Leader and a winner of the Red Dot & iF Design Awards because we believe security and protection should be powerful and usable. Come build the safety net for the AI generation. About Team & About Role: Our design team is strong and mighty, with about 60 amazing individuals from all walks of the industry and life located worldwide. As our company and our products grow rapidly, it is crucial to scale the experience of our product and our design team in the right way and with the right people. Every hire counts! We are seeking a core hire for Rubrik's design team. We are looking for a highly-skilled UX Designer for our Israel site that can help us drive towards

Senior AI Engineer London (hybrid)

SDET - Automation Bengaluru, India Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge This is a hands-on role which builds automation scripts for long term product scalability and stability. In this role, the resource is closely working with the product team to understand the functionality being developed and writes robust automation scripts and performance scripts to meet the acceptance criteria. As the resource matures in understanding the breadth and depth of product functionality, the resource should be able to bring in critical thinking to ask the “what if” questions to strengthen the tests. The role evaluates continuous improvement by improving the effectiveness of the automated tests This role understands customer use cases and usage models in production to begin incorporating the right tests in the release pipeline This role begins

Senior Site Reliability Engineer, AI Research Remote - Australia At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. About the AI Research Team The AI Research team at Algolia combines fundamental research with product engineering to deliver customer-facing AI-powered features. The team is highly cross-functional, made up of PhD researchers, full-stack engineers, and infrastructure specialists working together to explore new ideas, validate impact, and bring successful research outcomes into production. While the work is research-driven, the output is real, customer-facing systems. The Opportunity We are looking for an embedded Senior Site Reliability Engineer to join the AI Research team as a full member of the group. In this role, you will support both the research and product-engineering aspects of the team by ensuring the stability, scalability, and operability of the infrastructure that enables this work. This is a classic SRE role focused on cloud-first, service-oriented architectures running on Google Cloud Platform. While the team builds AI-powered systems, AI or ML experience is not required for this role. Our priority

Senior Data Scientist, Machine Learning Engineer Poland; Lviv, Ukraine; Europe About Shelf The enterprise is going agentic - but most AI agents fail when they hit real business complexity. Shelf is changing that. We've built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don't just respond - they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale. Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20-25%, and turn hours-long processes into seconds. We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach. If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you're in the right place. Our mission is to empower humanity with better answers everywhere. Summary The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features-from problem framing and experimentation to service deployment, and ongoing operations-quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

Machine Learning Engineer - Inference San Francisco About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI! Responsibilities - Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale. - Develop and optimize runtime inference services for large-scale AI applications. - Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. - Conduct design and code reviews to ensure high standards of quality. - Create services, tools, and developer documentation to support the inference engine. - Implement robust and fault-tolerant systems for data ingestion and processing. Requirements - 3+ years of experience writing high-performance, well-tested, production-quality code. - Proficiency with Python and PyTorch. - Demonstrated experience in building high performance libraries and tooling. - Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale. - Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum - Preferred: Knowledge of AI inference

Application Architect, Java Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The Service Stability Engineering Team envisions service stability as one of the core competitive strengths of the company's products. By building end-to-end, link-level risk management capabilities, the team aims to achieve sustainable automatic identification and analysis of stability risks, transforming from "reactive governance" to "proactive governance." This approach shifts more stability-related matters forward and addresses them early, preventing issues before they arise and enhancing user experience. What You'll Be Doing - Oversee non-functional aspects of relevant business lines, closely collaborate with business units to ensure service stability. - Based on data

Director, Product (Auto P&C) New York, NY or Chicago, IL About Us: EvolutionIQ's mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are pioneers in vertical AI and driving business value from AI applications. As part of CCC Intelligent Solutions, a publicly traded technology company serving the P&C insurance industry, we combine EIQ's AI-native product development with CCC's 40 years of proprietary data and deep carrier relationships. Together, the combined organization serves the largest and most complex insurance carriers in the world, and we are building the next generation of AI-first products for the casualty insurance market. Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026! About the Role: We are hiring a Director of Product to own a major new product area in Casualty. You'll start with a small, fast team: yourself plus a small number of engineers, operating with real independence and building at a pace that reflects how we believe product development should work. While no two days are the same, on any given day you can expect to: - Own the strategy, roadmap, and commercial success of a new product area from inception through market validation - Build and ship AI-first products that guide and

Senior AI Engineer, AI Labs New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior AI Engineer at Via, you'll be a founding member of Via's new AI Labs - an incubator-style team operating like a startup within the company. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you. About the Role: - Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments. - Work closely with our partners in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions. - Lead technical