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Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business impact. This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design experiments, build models, and deliver data-driven recommendations that shape how millions of customers experience crypto. You will gain hands-on experience at a publicly traded crypto-native company, with mentorship from senior data scientists and direct exposure to how data shapes the company. What you'll do: Collaborate with product teams to create analyses and build models that drive measurable business outcomes. Support the design and execution of experiments, including A/B tests and causal inference methods. Build and maintain analytical datasets and pipelines that ensure data integrity and power your analyses and models. Distill complex analyses into clear, actionable insights through data-driven storytelling for technical and non-technical audiences. Partner with senior team members on analytical deep dives to diagnose and address complex business problems. Required Skills and Experience: Coursework or project expe

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Micron Mask Technology Center (MTC) is a leading-edge photomask fabrication facility located in Boise, Idaho. We enable sophisticated photolithography through our fine-tuned photomask manufacturing processes. Join a team that keeps one of the world's most advanced photomask manufacturing facilities running at peak performance. As a Photomask Sustaining Engineering Intern, you will collaborate with engineering and manufacturing teams to investigate complex technical issues, uncover insights from production data, improve quality and cycle time, and develop innovative solutions that support world-class manufacturing. Along the way, you will gain hands-on experience in semiconductor manufacturing, data analytics, root cause analysis, troubleshooting, continuous improvement, and cross-functional collaboration while contributing to real production challenges with measurable impact. What You'll Learn: Photomask manufacturing fundamentals and the role sustaining engineering plays in supporting the manufacturing process. Practical application of AI and automation to improve engineering productivity and knowledge management. SEM/EDX theory, operation, and data interpretation for defect investigation and root cause analysis.SPC theory and application, including trend analysis, control charts, and process monitoring. Statistical analysis techniques used to identify process shifts, prioritize improvement opportunities, and drive data-based decisions. Responsibilities: Analyze manufacturing and engineering data to identify

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Engineer in the TDT (TD Taiwan) Device Team, you will drive DRAM device development projects supporting technology roadmap enablement, model delivery, performance optimization, reliability improvement, and technology transfer. You will collaborate closely with Technology Development organizations worldwide to advance next-generation CELL technologies from concept development through high-volume manufacturing. This role requires strong expertise in semiconductor device physics, process integration, electrical characterization, and data-driven problem solving. The successful candidate will provide technical leadership across multidisciplinary teams and leverage advanced analytics, AI-assisted engineering methodologies, and automation tools to accelerate technology development, root-cause analysis, and decision-making. This role requires strong expertise in semiconductor device physics, process integration, electrical characterization, and data-driven problem solving. The successful candidate will provide technical leadership across multidisciplinary teams and leverage advanced analytics, AI-assisted engineering methodologies, and automation tools to accelerate technology development, root-cause analysis, and decision-making. Key Responsibilities Drive DRAM CELL device development projects supporting future technology roadmap requirements. Lead electrical characterization, margin assessment, performance optimization, and reliability improvement activities.</p

Qui sommes-nous ? Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis plus de 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 27 pays sur tous les continents et comptons 2500 collaborateurs. Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. En tant que Stagiaire Data Consultant , tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure : Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases… Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…) Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes. Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes. Processus de recrutement Étape 1 : Entretien RH avec notre chargée de recrutement, An

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Product Engineering Project Title Machine Learning and Agentic AI Solutions for Semiconductor Product Engineering Project Description The Product Engineering Machine Learning and Agentic AI Intern will undertake an engineering project focused on applying Artificial Intelligence to semiconductor yield analysis, test optimization, data processing, and workflow automation. Working under the guidance of experienced Product Engineers and Citizen Data Scientist mentors, the intern will develop Machine Learning models, explore Agentic AI solutions, and evaluate engineering data from probe, wafer, test, and manufacturing processes. The project provides hands-on exposure to structured data analytics, Artificial Intelligence agents, engineering automation, and production-oriented AI applications in a semiconductor environment. Objective of the Project Develop Machine Learning solutions for semiconductor yield, reliability, test-time, or cycle-time improvement. Explore Agentic AI applications that automate selected engineering analysis and documentation workflows. Transform high-volume semiconductor datasets into structur

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Technical Project Manager - Project Success Location : Remote; U.S.-based candidates preferred. Candidates outside the U.S. are welcome to apply but must be available to work U.S. business hours. Work Authorization: Authorized to work in the U.S. without current or future sponsorship. Salary Range: $120,000 - $150,000 USD (dependent on experience level and location) About the Role We’re seeking a Technical Project Manager to join our Project Success team and help clients build, secure, and operate AI infrastructure they own. Our engagements range from implementing AI platforms within a client’s environment and building knowledge and retrieval applications over sensitive data to securing open-source AI systems, facilitating AI discovery with leadership teams, and serving as an embedded technical partner. This is not a traditional project management or coordination-only role. It is a technical collaboration role. You’ll work alongside OpenTeams engineers, client stakeholders, and account leaders to understand design-level concepts, capture requirements and decisions, and keep technical execution aligned with client needs. You won’t direct engineering work from the outside. You’ll partner closely with the teams designing and building the solution, helping translate and structure complex information so technical and business stakeholders remain align

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the role: The Sr. Customer Success Manager role will play a critical part in the exciting growth and retention trajectory of the Enterprise Sector at Okta. You will report to the Regional Manager, Customer Success and be responsible for complementing Okta’s innovations, best practices, and capabilities with our valued customers’ business objectives and priorities. As a strategic and trusted advisor, you will shift customer mindsets, create demand for our solutions, and drive higher business value and executive alignment between Okta and our customers. The ideal candidate embodies a high-performance mindset—consistently raising the bar, turning action into traction, thriving in change, and moving fast to simplify and repeat. It requires complementing Okta’s innovations, efficiencies and capabilities with our valued customers’ business objectives and priorities thereby driving higher business value and executive alignment between Okta and our customers, but it also demands a leader who can navigate these constraints with urgency and an obsession for concrete outcomes. Strong problem-solving, orchestration, and consultative skills are necessary for navigating challenges, finding innovative solutions, and winning as a team. In this role, you will: Deliver Customer Value: Develop and nurture strong customer and C-Level relationships to understand their business goals and needs, ensuring retention, happiness, and a significant return on investment. Ce

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities AI solution development: Build and deploy AI tools and workflows using platforms such as Copilot Studio, UiPath, and other automation frameworks. Integration & enablement : Connect AI agents with enterprise systems (e.g., SharePoint, M365), external APIs, and knowledge bases for seamless interoperability. Process automation : Identify repetitive tasks and design intelligent automation to improve efficiency. Security & identity integration : Secure agent interactions via encryption, authentication, and authorization; integrate with identity platforms (OAuth2, OIDC, SAML, Entra ID, AD FS) for access control. Governance & compliance : Partner with cybersecurity on data protection and threat modeling, ensuring solutions meet security, ethical, and compliance standards. Collaboration & training : Enable AI literacy across teams through best-practice documentation and internal training. Continuous improvement : Collect feedback, iterate, and contribute to a culture of innovation and scale. Required Qualifications Education: Bachelor's or master's in computer science, AI, machine learning, data science, or a related field, or equivalent related experience. Experience: 5&#43; years in software development, including 2&#43; years in AI/ML engineering. AI & automation foundations : Strong grasp of AI concepts, ML pipelines, and automation tool

MyPrize is the fastest growing free-to-play social gaming and social markets platform in the world, redefining how people play, watch, and connect with one another and with gaming and markets online. Pioneering multiplayer experiences where users can join forces with creators, streamers, and friends, MyPrize provides a platform built for shared moments and massive communities. MyPrize transcends boundaries, giving players and fans what they have been desperately craving: an all-in-one platform that combines the best of online gaming, live streaming, and social markets, powered by MyPrize's proprietary AI personalization engine. With SOC 2 Type 1 certification, MyPrize maintains institutional-grade security while building the future of online entertainment. We're seeking a Product Analytics Manager to join our growing Analytics team full time. This is an exciting opportunity to measure and optimize the in-app player experience starting with closing our core event-tracking gaps and building toward a full A/B testing and churn-prediction capability. The Role: As Product Analytics Manager at MyPrize, you'll measure and optimize the in-app player experience and game/feature performance, working closely with Analytics and Product departments. You'll stand up reliable event-tracking infrastructure as a foundational dependency, then build the core product dashboard, A/B testing framework, and churn-prediction capability that the rest of the organization relies on. What you will do at MyPrize: Instrument & Validate Event Tracking: Assess and close event-tracking/instrumentation gaps (mobile SDK and/or game-engine event logging, e.g., Firebase, Amplitude, or Mixpanel), validating event definitions and data quality — the foundational first deliverable before any dashboard work. Build Core Product Dashboards: Build and maintain core product/game-performance dashboards (DAU/MAU, session metrics, retention, funnel conversion, feature adoption) that give stakeholders re

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads. EXAMPLE INITIATIVES Recent and upcoming work in this area: Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials Agent credentials that grant an agent exactly the access it needs for the gi

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Product Data Scientist to establish how product decisions at Baseten are made with data. You'll work directly with Product and Engineering, alongside GTM to determine measurement, strategy, experimentation and implementation. This is a foundational, hands-on role. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape product strategy. You'll work from clickstream and product events through inference telemetry and observability data, helping Baseten make faster decisions about reliability, performance, adoption and developer experience. RESPONSIBILITIES Partner directly with Product and Engineering: frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define how product success is measured: establish metrics across activation, adoption, retention, expansion, reliability and user experience. Support experimentation and launches: design measurement plans, analyze A/B experiments and controlled rollouts, and translate results into product decisions. Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment, and cluster telemetry to find patterns in release bottlenecks, unhealthy replicas, and models without traffic. Define the enterprise customer journey and measure feature adoption

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Transport and Site Defense teams build and operate foundational infrastructure behind one of the largest sites in the world. These teams own how requests enter Reddit, how services discover and talk to each other, how traffic moves across clusters and clouds, and how Reddit protects itself from DDoS attacks, scrapers, bots, and other undesired traffic. We are looking for a Staff Software Engineer to join the Site Defense team within Reddit’s Infrastructure organization. Site Defense is responsible for protecting Reddit at internet scale—serving as the first line of defense against DDoS attacks, automated abuse, large-scale scraping, and other network-level threats. This is a high impact role that sits at the intersection of distributed systems, networking, security, and applied machine learning. You will design and own the critical infrastructure that safeguards Reddit’s data from large scale attacks. You will: Design, build, and operate high-scale, low-latency systems that protect Reddit from DDoS attacks, bots, and automated abuse. Analyze, develop and evolve ingress-level defenses across CDN, edge, and internal infrastructure layers. Build systems to detect, score, and mitigate malicious traffic in real time at per-request and per-user granularity Partner closely within Infrastructure and with Security, and internal Safety teams to balance security, performance, and user experience Mentor junior engineers in their professional growth. Contribute to the team’s ML-at-Ingress initiatives, including experimentin

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads. EXAMPLE INITIATIVES Recent and upcoming work in this area: Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials Agent credentials that grant an agent exactly the access it needs for the gi

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join our team Join Customer Insights Engineering, a team dedicated to building the next generation of artificial intelligence-powered products that help GoDaddy better understand and serve millions of customers worldwide. As a Software Engineer, you'll work across the artificial intelligence stack, developing intelligent applications, application programming interfaces, and user experiences that transform customer data into actionable insights. You'll help build products powered by large language models and artificial intelligence that uncover growth opportunities, improve customer experiences, and influence key GoDaddy products, including Airo, Domains, Email, and SSL. What you'll get to do... Build and deploy artificial intelligence agents and intelligent applications that solve real customer and business challenges Design, develop, and maintain scalable backend services and application programming interfaces that power artificial intelligence-driven experiences Develop full-stack solutions, contributing to both user-facing experiences and backend systems Integrate large language models, artificial intelligence services, data platforms, and external application programming interfaces to create end-to-end solutions Collaborate closely with engineers, product managers, and cross-functional partners to deliver high-impact features and

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GNSS and other sensing may be unavailable, degraded, or denied. As an Autonomy Software Engineer, you will design, build, and deploy the software systems that power perception, localization, navigation, planning, and mission autonomy across our product lines. This is a broad role for engineers who are deeply technical in one domain and highly effective across adjacent ones. You may come from estimation, perception, machine learning, embedded systems, or planning, but you are excited to work across the autonomy stack and deliver real capability from prototype to fielded system. Key Responsibilities Design, implement, and ship production autonomy software in modern C++ on Linux, with Python for tooling, analysis, and ML workflows. Build and integrate capabilities across perception, localization, sensor fusion, navigation, planning, and embedded inference. Take systems from prototype through simulation, software-in-the-loop, hardware-in-the-loop, flight test, and deployment. Analyze logs, simulation results, and test data to debug failures, improve robustness, and drive rapid iteration. Develop evaluation pipelines, metrics, and tooling for accuracy, lat