Foundation jobs

Senior Engineering Manager, Data San Francisco, US (Hybrid) About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel's AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About the Team Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation. - Data Foundation governs how data enters and is characterized. - Query Engine makes queries fast and accurate. - Data Storage handles processing and storage at scale and low cost. - Data Activation routes behavioral data to the systems that act on it. Together, these teams are driving foundational initiatives like elastic query compute, distributed file caching, real-time data streaming, and AI-ready APIs that will underpin the next generation of the product.

Alternant Conseiller Spécialisé Financements Structurés HF Paris - Pyramides posted: Posted 30+ Days Ago

Machine Learning - Data Scientist Sunnyvale, United States of America Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards. This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences! Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks. Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks). Build, curate, and lead evaluation datasets and benchmarks. Advanced proficiency in at least one scripting language, preferably Python. Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality. Conduct failure analysis and uncover edge cases to improve model robustness. Contribute to our tools and infrastructure to automate and scale evaluation processes. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience Strong experience in evaluating supervised, unsupervised, and deep learning models. Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms. Familiarity with multimodal models

Stagiaire Ingénieur Qualité (H/F/D) Country Switzerland Chez Nespresso Suisse nous pensons qu'il est possible d'élever l'univers du café et nous voulons contribuer positivement à changer les vies et les paysages pour le mieux. Élu meilleur employeur 2025, nous plaçons chacun de nos 14 000 collaborateurs, sans exception, au cœur de notre réussite. Pour y parvenir, nous adoptons quatre comportements essentiels : « We Inspire, we Care, we Act, and we iNnovate ». Et vous ? Voulez-vous nous accompagner dans cette aventure passionnante ? Rejoignez l'équipe Nespresso ! Et réimaginez la nature du café. Réimaginez votre avenir. Instantané du poste Lieu : Stage proposé sur le site d'Orbe Switzerland Entité : Centre de Production Nespresso Durée : Contrat de stage de 6 mois Date de démarrage souhaitée : Septembre 2026 Ce que nous offrons chez Nespresso De réelles opportunités d'évolution de carrière et de développement personnel Un cadre de travail flexible facilitant la créativité et la collaboration Une culture fondée sur la bienveillance et l'inclusivité, où chacun peut être soi-même La qualité et la durabilité au cœur de notre identité et une vision essentielle pour favoriser le changement positif L'opportunité de travailler pour une entreprise certifiée B Corp, et l'une des marques les plus fiables et appréciées à l'échelle mondiale. Au cours du processus de recrutement, n'hésitez pas à nous en parler pour en savoir plus ! Découvrez notre page Linkedin : Nespresso Centres de production Découvrez nos métiers : Métiers Nespresso - YouTube

Principal Engineer - AI Data and Infrastructure, Remote Remote, United States As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered data ecosystem: from architecting the high-performance foundations of next-generation agentic data platforms to scaling our infrastructure for millions of users worldwide. Reporting to our SVP of Engineering, you will partner with product and engineering leadership to translate technical strategy into business impact. You'll set the direction for a unified data platform designed for an AI-first future, guiding dozens of engineering teams to bridge the gap between raw data and actionable AI. This role blends high-level architectural influence with hands-on code contributions, building systems from conception through global scale that are both innovative and production-ready. You will tackle complex problems in data orchestration, low-latency processing, and developer velocity, delivering the foundational capabilities that will accelerate company-wide innovation and define our next chapter. As a Principal Software Engineer, you'll be one of the most senior technical leaders shaping the future of our AI-powered data ecosystem: from architecting the high-performance foundations of next-generation agentic data platforms to scaling our infrastructure for millions of users worldwide. Reporting to our SVP of Engineering, you will partner with product and engineering leadership to translate technical strategy into business impact. You'll set the direction for a unified data platform designed for an AI-first future, guiding dozens of engineering teams to bridge the gap between raw data and actionable AI. This role blends high-level architectural influence with

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Staff DevOps Engineer Mumbai, Maharashtra, India Company Description: Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We're optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. Job Description: We are hiring a Staff DevOps Engineer for the AI Factory product team, responsible for architecting, scaling, and standardizing the cloud and platform foundations that power AI-driven products and internal platforms. This is a senior individual contributor role with org-level technical influence. The Staff DevOps Engineer operates beyond a single product or squad, shaping platform strategy, reliability standards, CI/CD foundations, and cloud cost governance across the AI Factory. The role is hands-on where it matters most, while also acting as a technical authority and escalation point for complex infrastructure, deployment, and reliability challenges. Key Responsibilities Architect and evolve cloud-native platform foundations supporting AI Factory products and internal platforms Define and enforce DevOps standards across environments: CI/CD, deployment patterns, observability, security, and cost controls Design scalable infrastructure patterns for multi-service, multi-environment systems Act as the final escalation point for complex infrastructure and reliability issue Own architecture and best practices across AWS / GCP / Azure (multi-cloud exposure)

Applied Scientist, AWS Applied AI Solutions Core Services Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms. Key job responsibilities * Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools * Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation * Create scalable algorithms and models that generalize across multiple customer use cases and business problems * Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems * Collaborate with engineering teams to integrate science components into production systems with measurable customer impact * Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts * Establish evaluation frameworks and best practices for measuring solution performance and business impact * Mentor other scientists and contribute to the broader scientific community through publications when appropriate A day in the life As an Applied Scientist, you'll work on challenging problems that span multiple

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Senior Software Development Engineer, Rendering Foundations - ProductUIService Vancouver, British Columbia, CAN Product UI Service (PUIS) is a tier-1 service that provides product detail information to Amazon retail websites and downstream services. We currently serve Search, Dossier widgets on Search and Amazon Page Builder (APB) based Browse pages. As a Senior SDE on PUIS, you will own and evolve a Tier-1 rendering system that processes hundreds of millions of requests daily and directly shapes the shopping experience for hundreds of millions of customers worldwide. PUIS is Amazon's centralized, standalone ASIN faceout rendering engine. It decouples product presentation logic from every upstream surface (Search, Homepage, Detail Page, and beyond), enabling consistent, high-quality product displays at scale through a recipe-driven configuration system. You will work at the intersection of distributed systems, rendering infrastructure, and customer-facing UI - solving hard problems in latency, reliability, and extensibility for one of the most critical systems in Amazon's retail stack. Your strategic leadership informs the next generation of rendering technologies, and enables key Shopping expeirences such as Search to regularly modernize their rendering solutions. You'll connect the dots across multiple teams, and drive incremental multi-year initiatives across the Rendering Foundations to serve highly performant solutions to Store Builders. Key job responsibilities * Own the architecture roadmap and strategy across PUIS, drive multi-year initiatives to simplify and modernize the technology stack and the operational posture. * Design and build new capabilities in PUIS's Java/Coral-based service layer, including product rendering pipelines, recipe configuration management, and AAPI resource integration.

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Grant and Donations Project Coordinator 2 Locations posted: Posted 7 Days Ago

Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Santa Clara, California, USA The Shopping Convo Foundations Team - Pre-purchases Science is looking for an Applied Scientist with expertise in Artificial Intelligence and Machine Learning to drive scientific innovation that expands Amazon's product catalogue. Our goal is to leverage AI/ML solutions to enhance catalogue coverage with high precision. In this role, you will research and develop novel machine learning approaches to solve complex catalogue expansion and product attribute challenges. You will design and develop state-of-the-art ML models, conduct rigorous experimentation, and translate scientific breakthroughs into production-ready solutions. You will work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to

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Research Scientist - Audiovisual Generation, Model Foundations Jerusalem Who we are Lightricks is an AI-first company creating next-generation content-creation technology for businesses, enterprises, and studios, with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration. The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world's most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all. The role Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team. At Lightricks, we've been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers. This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models. What you will be doing - Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results. - Publish papers and open source models to benefit

Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months) Region Europe | Country Germany | Internal Posting Location St. Leon-Rot We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build As a Research Fellow in the Global Content Group (GCG) Engineering team, you will: Research and prototype neuro-symbolic AI approaches that combine the reasoning power of structured knowledge graphs with the generalization capabilities of large language and foundation models Develop methods to inject ontology-level knowledge - concepts, relationships, and constraints - directly into foundation models, enabling them to generate accurate, schema-aware SPARQL queries from natural language Design and evaluate knowledge-grounded question answering (Q&A) systems that go beyond retrieval-augmented generation, leveraging formal ontologies to improve precision, explainability, and faithfulness of model outputs Benchmark your approaches against existing text-to-SPARQL and semantic Q&A baselines on enterprise knowledge graphs Collaborate with a global team of software engineers, data scientists, and researchers on cutting-edge challenges at the intersection of symbolic AI and

Speech Therapist- Outpatient Adult Neurorehab UNAVAILABLE, UNAVAILABLE, UNAVAILABLE Where You'll Work Virginia Mason Franciscan Health has a rich history of providing exceptional healthcare, dating back to 1891. Building upon a legacy of compassionate care and innovation, our organization has evolved over the years through strategic partnerships and integrations to expand our reach and services across the Puget Sound area. Today, as Virginia Mason Franciscan Health, we remain deeply committed to healing the whole person - body, mind, and spirit - in the communities we serve. This commitment is strengthened by the diverse expertise and shared values brought together through our growth. Our dedicated providers offer a full spectrum of health care services, from routine wellness to complex disease management, all grounded in rigorous research and education. Our comprehensive network of 10 hospitals and nearly 300 care sites strategically located across the greater Puget Sound region reflects our ongoing commitment to accessibility and comprehensive care. We are proud of our pioneering medical advances and numerous awards and accreditations that reflect our dedication to excellence. When you join Virginia Mason Franciscan Health, you become part of a team that delivers top-quality, professional healthcare in modern, well-equipped facilities, and contributes to a legacy of service built on collaboration and shared purpose. Job Summary and Responsibilities As a Speech Therapist (Speech-Language Pathologist), you will be instrumental in empowering individuals acros

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Menlo Park, CA; Seattle, WA; New York, NY Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com. Responsibilities: - Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities) - Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem - Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions - Draft and polish research reports and/or

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Quality Control Technician Archbald, PA -Silverbrook Job Description: Join Arcosa Aggregates, a company with LOADS of opportunity and stability. Arcosa Aggregates is a leading producer and distributor of construction materials and services. We are unified in our commitment to building a better world through the foundations of roads, bridges, and buildings in our communities across the United States.

Senior Director of Global Facilities Cambridge, MA

Lead AI Engineer Hyderabad, Telangana, India We are seeking a Lead AI Engineer with strong software engineering foundations and hands-on experience in Generative and Agentic AI. In this role, you will architect, design and build production-grade AI systems powered by large language models and intelligent agents.

CNN News Desk Reporting Intern London, London, City of, United Kingdom CNN's award-winning news desk in London is looking for an intern who wants to pursue a career in international and breaking news. The successful candidate will have a strong foundation in reporting,...